Triple

T14058062
Position Surface form Disambiguated ID Type / Status
Subject BOAD E338269 entity
Predicate acronym P43 FINISHED
Object BOAD E338269 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: BOAD | Statement: [BOAD, acronym, BOAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOAD
Context triple: [BOAD, acronym, BOAD]
  • A. BOAD chosen
    BOAD is a regional financial institution that provides development financing and supports economic integration among West African Economic and Monetary Union (WAEMU) member states.
  • B. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • C. BOA
    BOA is the acronym for the Barbados Olympic Association, the national body responsible for organizing Barbados's participation in the Olympic Games and promoting Olympic sports in the country.
  • D. BOG
    BOG is the three-letter National Rail station code for Bognor Regis railway station in West Sussex, England.
  • E. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb662c37c8190a629278a97060080 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.