# 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} ] } ] ```