Triple

T3864758
Position Surface form Disambiguated ID Type / Status
Subject Idlewild Beach E91824 entity
Predicate hasNameOriginFor P3325 FINISHED
Object Idlewild Airport E13140 NE FINISHED

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: Idlewild Airport | Statement: [Idlewild Beach, hasNameOriginFor, Idlewild Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idlewild Airport
Context triple: [Idlewild Beach, hasNameOriginFor, Idlewild Airport]
  • A. Idlewild Airport chosen
    Idlewild Airport was the original name of New York City’s major international airport now known as John F. Kennedy International Airport.
  • B. Skyhaven Airport
    Skyhaven Airport is a public-use airport serving Johnson County, Missouri, primarily accommodating general aviation and local air traffic.
  • C. Jolly Grant Airport
    Jolly Grant Airport is a domestic airport serving the city of Dehradun and the surrounding region in the Indian state of Uttarakhand.
  • D. Spriggs Payne Airport
    Spriggs Payne Airport is a domestic airport serving the city of Monrovia in Liberia.
  • E. Stoolbend Airport
    Stoolbend Airport is a small local airfield serving the fictional town of Stoolbend in Virginia, typically depicted in animated television contexts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c808c808190928bf07788ad9657 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.