Triple

T8131090
Position Surface form Disambiguated ID Type / Status
Subject Lee–Enfield rifle E189852 entity
Predicate manufacturer P490 FINISHED
Object BSA Company E535154 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BSA Company | Statement: [Lee–Enfield rifle, manufacturer, BSA Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSA Company
Context triple: [Lee–Enfield rifle, manufacturer, BSA Company]
  • A. BSA Group
    BSA Group is a business conglomerate known for expanding its portfolio through strategic acquisitions in sectors such as climate control and industrial services.
  • B. BSA
    BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
  • C. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • D. BSA chosen
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • E. Baldwin-Lima-Hamilton Corporation
    Baldwin-Lima-Hamilton Corporation was a major mid-20th-century American manufacturer formed through mergers that produced locomotives, construction equipment, and industrial machinery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b7dbd881908a80f23090596eae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.