Triple

T22835510
Position Surface form Disambiguated ID Type / Status
Subject Atlantic City International Airport E565934 entity
Predicate hasICAOCode P419 FINISHED
Object KACY 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: KACY | Statement: [Atlantic City International Airport, hasICAOCode, KACY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KACY
Context triple: [Atlantic City International Airport, hasICAOCode, KACY]
  • A. KACY chosen
    KACY is the ICAO airport code for Atlantic City International Airport in New Jersey, United States.
  • B. Katy No-Pocket
    Katy No-Pocket is a classic children's picture book about a kangaroo mother without a pouch, written by Margret Rey and illustrated by H.A. Rey.
  • C. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • D. KYA
    KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
  • E. McCall's
    McCall's was a popular American women's magazine known for its fashion, lifestyle, and home-related content throughout much of the 20th century.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.