Triple

T19218718
Position Surface form Disambiguated ID Type / Status
Subject Aircraft Manufacturing Company Limited E480551 entity
Predicate acquiredBy P347 FINISHED
Object BSA Company NE NERFINISHED

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: [Aircraft Manufacturing Company Limited, acquiredBy, BSA Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSA Company
Context triple: [Aircraft Manufacturing Company Limited, acquiredBy, 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
    BSA is the IATA airport code for Bosaso Airport, a regional airport serving the city of Bosaso in Puntland, Somalia.
  • E. BSA chosen
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3d5684819092d3083f65ea90d5 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:23 p.m.