Triple

T5460016
Position Surface form Disambiguated ID Type / Status
Subject Fellow of the British Academy E122572 entity
Predicate postNominalLetters P1600 FINISHED
Object FBA E149402 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: FBA | Statement: [Fellow of the British Academy, postNominalLetters, FBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FBA
Context triple: [Fellow of the British Academy, postNominalLetters, FBA]
  • A. FBA chosen
    FBA is the post-nominal designation used to indicate a Fellow of the British Academy, recognizing distinguished achievement in the humanities and social sciences.
  • B. FVBU
    FVBU is the ICAO airport code for Joshua Mqabuko Nkomo International Airport in Bulawayo, Zimbabwe.
  • C. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • D. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • E. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9200a3988190a06f253f99e68224 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488866088190b213bd641f8b247c completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:08 p.m.