Triple

T10461932
Position Surface form Disambiguated ID Type / Status
Subject BFI E246696 entity
Predicate abbreviation P43 FINISHED
Object BFI unclear NED1 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: BFI | Statement: [BFI, abbreviation, BFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BFI
Context triple: [BFI, abbreviation, BFI]
  • A. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • B. BFI
    BFI is the IATA airport code for King County International Airport, commonly known as Boeing Field, a major general aviation and cargo airport serving the Seattle, Washington area.
  • C. BFI Film Fund
    BFI Film Fund is a major UK public funding body that supports the development, production, and distribution of British films.
  • D. British Film Institute
    The British Film Institute is the United Kingdom’s lead organization for film culture, responsible for preserving the national film archive, promoting film education, and supporting film production and exhibition.
  • E. BAM Film
    BAM Film is the film program of the Brooklyn Academy of Music, presenting curated repertory, independent, and international cinema at its affiliated BAM Rose Cinemas and other venues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50883b62c819082711b8c9fd968e3 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fcc84b48190a39de0d9b9111ebd completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.