CrossER / data /schema.md
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# CrossER v2 Data Schema
## entities.json
```json
{
"entity_id": "tc2_prod_0001",
"source_system": "SAP_TC2",
"entity_type": "product",
"name": "Maltodextrin DE20 Grade A",
"attributes": {
"category": "starches",
"sub_category": "maltodextrin",
"cn_code": "CN 1702.90",
"dextrose_equivalent": 20,
"grade": "A",
"region": "NA",
"cost_center": "CC-412",
"status": "active"
}
}
```
### Source Systems
| System | ID Prefix | Naming Style | Completeness |
|--------|-----------|-------------|-------------|
| SAP_TC2 | `tc2_` | Formal English | 95% |
| SAP_CFIN | `cfin_` | Internal codes | 90% |
| SAP_APAC | `apac_` | Abbreviated | 60% |
| LEGACY_ERP | `leg_` | Cryptic codes | 45% |
| SHAREPOINT | `sp_` | Authoritative | 85% |
### Entity Types
- `product` — Physical products (starches, sugars, acids, proteins, oils)
- `supplier` — Vendor/supplier companies
- `tax_code` — Tax classification codes (CN/HS codes)
- `legal_entity` — Legal entities / subsidiaries
## pairs.json
```json
{
"pair_id": "pair_0001",
"entity_a": "tc2_prod_0001",
"entity_b": "cfin_prod_0001",
"label": "match",
"string_similarity": 0.234,
"attribute_overlap": 0.500,
"difficulty_tier": "hard",
"entity_type": "product",
"system_pair": ["SAP_CFIN", "SAP_TC2"]
}
```
### Labels
- `match` — Same real-world entity
- `no_match` — Different entities
- `ambiguous` — Requires human judgment
### Difficulty Tiers
- `easy` — String sim >= 0.70
- `medium` — String sim 0.30-0.70
- `hard` — String sim < 0.30
- `adversarial_negative` — High similarity but NOT a match
- `medium_negative` / `obvious_negative` — No-match tiers
## Splits & Subsets
- `splits/{train,val,test}.json` — 40/20/40 stratified split
- `subsets/crosser_easy.json` — Easy-tier test pairs
- `subsets/crosser_hard.json` — Hard + adversarial test pairs
## Oracle Context
- `context/structured/oracle_context.json` — Complete pairwise migration records
- `context/structured/alias_table.json` — Canonical entity alias groups
## Demo Subset
- `demo/*.csv` — Per-system entity CSVs
- `demo/ground_truth.csv` — Labeled pairs
- `demo/rules.yaml` — Business rules
- `demo/knowledge.yaml` — Domain knowledge artifacts
---
# Extended Pipelines (--pipeline full)
## Email Chains (`email_chains/`)
```json
// chains.json — array of email threads
{
"chain_id": "email_chain_0001",
"domain": "commodity_trading",
"messages": [
{
"message_id": "email_chain_0001_msg_001",
"sender": "s.chen@globalfoods.com",
"sender_name": "Sarah Chen",
"sender_role": "Operations Manager, North America",
"recipients": ["j.morrison@globalfoods.com"],
"subject": "RE: Is Maltodextrin DE20 Grade A in SAP_TC2 the same as record in SAP_CFIN?",
"body": "...",
"timestamp": "2025-07-15T09:00:00"
}
]
}
```
### Email Prediction Format
```json
[
{
"chain_id": "email_chain_0001",
"extracted_knowledge": [{"type": "entity_mapping", "description": "..."}],
"extracted_relationships": [{"type": "discussed_in_context", "entities_involved": 2}],
"extracted_corrections": [{"type": "expert_correction", "source_message_ids": ["..."]}]
}
]
```
## Support Tickets (`tickets/`)
```json
// tickets.json
{
"ticket_id": "TKT-0001",
"domain": "commodity_trading",
"title": "Product ID mismatch between SAP_TC2 and SAP_CFIN",
"priority": "high",
"resolution": {
"resolution_type": "entity_mapping",
"verdict": "confirmed_match",
"confidence": 0.95,
"reasoning": "..."
},
"referenced_precedents": ["TKT-0003"]
}
```
### Ticket Prediction Format
```json
[
{
"ticket_id": "TKT-0001",
"predicted_resolution": "confirmed_match",
"referenced_precedent_ids": ["TKT-0003"],
"extracted_knowledge": [{"type": "entity_mapping", "description": "..."}]
}
]
```
## ERP Events (`erp_events/`)
```json
// events.json
{
"event_id": "EVT-000001",
"timestamp": "2025-01-15T10:30:00",
"source_system": "SAP_TC2",
"event_type": "purchase_order_created",
"entity_refs": [
{"entity_type": "product", "id": "TC2-1234", "name": "Maltodextrin DE20 Grade A"},
{"entity_type": "supplier", "id": "SUP-12345", "name": "Cargill Inc."}
],
"attributes": {"amount": 50000.00, "currency": "USD"},
"related_events": ["EVT-000002"]
}
```
### ERP Prediction Format
```json
[
{
"event_id": "EVT-000001",
"linked_entity_ids": ["EVT-000002"],
"normalized_event_type": "purchase_order_created"
}
]
```
## Cases (`cases/`)
```json
// cases.json
{
"case_id": "CASE-0001",
"case_type": "entity_disambiguation",
"domain": "commodity_trading",
"linked_entities": [...],
"resolution": {"verdict": "approved", "confidence": 0.9, "evidence": [...]},
"cited_precedents": ["CASE-0003"]
}
```
### Case Prediction Format
```json
[
{
"case_id": "CASE-0001",
"predicted_precedent_ids": ["CASE-0003", "CASE-0007"],
"predicted_resolution": "approved",
"context_entities": ["entity_a", "entity_b"]
}
]
```
## Corrections (`corrections/`)
```json
// sequences.json
{
"sequence_id": "CORR-0001",
"pattern_id": "entity_mapping_fix",
"domain": "commodity_trading",
"steps": [
{"step_index": 0, "step_type": "system_proposes_mapping", ...},
{"step_index": 1, "step_type": "expert_reviews", ...},
{"step_index": 2, "step_type": "expert_rejects", ...},
{"step_index": 3, "step_type": "expert_provides_correct_mapping", ...}
]
}
```
### Correction Prediction Format
```json
[
{
"sequence_id": "CORR-0001",
"generated_rules": [{"type": "override_mapping", "condition": "...", "action": "..."}],
"updated_mappings": [{"entity_a": "...", "entity_b": "...", "is_match": true}]
}
]
```
## Knowledge Documents (`knowledge_docs/`)
```json
// manifest.json
{
"doc_id": "KDOC-0001",
"filename": "KDOC-0001_concept_commodity_trading.md",
"title": "Concept: Dextrose Equivalent and Its Impact on Classification",
"doc_type": "concept",
"domain": "commodity_trading"
}
```
### Knowledge Prediction Format
```json
[
{
"doc_id": "KDOC-0001",
"extracted_artifacts": [
{"type": "concept", "content": "...", "entities": [...], "confidence": 0.95}
]
}
]
```