Triple

T15658439
Position Surface form Disambiguated ID Type / Status
Subject Kamloops Airport E376506 entity
Predicate alternativeName P39 FINISHED
Object Fulton Field E1170299 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: Fulton Field | Statement: [Kamloops Airport, alternativeName, Fulton Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fulton Field
Context triple: [Kamloops Airport, alternativeName, Fulton Field]
  • A. Fulton Field chosen
    Fulton Field is the alternate name for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • B. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • C. Morrison Field
    Morrison Field was the original military and civilian airfield in West Palm Beach, Florida, that later evolved into Palm Beach International Airport.
  • D. Miller Field
    Miller Field is a large recreational and athletic complex on Staten Island that serves as a key outdoor sports and community gathering area.
  • E. Davenport Field
    Davenport Field is the baseball facility at the University of Virginia, known for hosting the Cavaliers’ home games and collegiate tournaments.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed6f50c81909d87ced263064f0d completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.