Triple

T20284290
Position Surface form Disambiguated ID Type / Status
Subject KEVU E509834 entity
Predicate hasICAOCode P419 FINISHED
Object KEVU 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: KEVU | Statement: [KEVU, hasICAOCode, KEVU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KEVU
Context triple: [KEVU, hasICAOCode, KEVU]
  • A. KEVU chosen
    KEVU is the ICAO airport code for Northwest Missouri Regional Airport, a public airport serving the Maryville, Missouri area in the United States.
  • B. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • C. Kevvy
    Kevvy is a familiar or affectionate diminutive form of the given name Kevin.
  • D. Kev
    Kev is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, love, and coming-of-age revolve.
  • E. Kev
    Kev is a character from the play "Bengal Tiger at the Baghdad Zoo," which explores the psychological and moral fallout of the Iraq War.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67691516c81909f32b176edb6214c completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:56 a.m.