Triple

T17507631
Position Surface form Disambiguated ID Type / Status
Subject AGS E426363 entity
Predicate hasICAOCode P419 FINISHED
Object KAGS 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: KAGS | Statement: [AGS, hasICAOCode, KAGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAGS
Context triple: [AGS, hasICAOCode, KAGS]
  • A. KAGS chosen
    KAGS is the ICAO airport code for Augusta Regional Airport, a public airport serving the Augusta, Georgia area in the United States.
  • B. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • C. KAGC
    KAGC is the ICAO airport code for Allegheny County Airport, a public airport serving the Pittsburgh, Pennsylvania area.
  • D. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • E. KSGH
    KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.