Triple

T23263840
Position Surface form Disambiguated ID Type / Status
Subject GTO E582089 entity
Predicate name P16 FINISHED
Object GTO 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: GTO | Statement: [GTO, name, GTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTO
Context triple: [GTO, name, GTO]
  • A. GTO chosen
    GTO is the flashy, talkative driver of a yellow Pontiac GTO who serves as a central, enigmatic foil to the film’s quiet street racers in the 1971 road movie "Two-Lane Blacktop."
  • B. GTO
    GTO is the stock ticker symbol for Gemalto, a multinational digital security company known for its smart cards, SIM cards, and secure software solutions.
  • C. JGTO
    JGTO is the organizing body responsible for running and overseeing the professional men's golf tour in Japan.
  • D. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • E. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.