Triple

T12969526
Position Surface form Disambiguated ID Type / Status
Subject Wheeler Army Airfield E321356 entity
Predicate formerlyKnownAs P65 FINISHED
Object Wheeler Field E560370 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: Wheeler Field | Statement: [Wheeler Army Airfield, formerlyKnownAs, Wheeler Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheeler Field
Context triple: [Wheeler Army Airfield, formerlyKnownAs, Wheeler Field]
  • A. Wheeler Field chosen
    Wheeler Field was a major U.S. Army Air Corps airbase in Hawaii that played a central role in American air operations and was heavily attacked during the Pearl Harbor raid in 1941.
  • B. Sylvester Field
    Sylvester Field is a public recreational area in Hanover, Massachusetts, used for outdoor sports, community events, and general leisure activities.
  • C. Lorenz Field
    Lorenz Field is a soccer stadium in Corvallis, Oregon, primarily known as the home venue for Oregon State University’s soccer programs.
  • D. Richardson Field
    Richardson Field is a local park and recreational green space located in the Waban village of Newton, Massachusetts.
  • E. Dannelly Field
    Dannelly Field is a public airport serving Montgomery, Alabama, providing commercial passenger flights and military aviation facilities.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:34 p.m.