Triple

T18922740
Position Surface form Disambiguated ID Type / Status
Subject Ofu Airport E462898 entity
Predicate IATA code P2569 FINISHED
Object OFU 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: OFU | Statement: [Ofu Airport, IATA code, OFU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OFU
Context triple: [Ofu Airport, IATA code, OFU]
  • A. OFU chosen
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • B. UFU
    UFU is the Italian-language abbreviation for Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • C. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • D. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • E. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b4822c8190a0aeceb4499e775e completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.