Triple

T13637228
Position Surface form Disambiguated ID Type / Status
Subject Pearson Air Museum E325879 entity
Predicate associatedWith P37 FINISHED
Object Pearson Field E1054089 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: Pearson Field | Statement: [Pearson Air Museum, associatedWith, Pearson Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearson Field
Context triple: [Pearson Air Museum, associatedWith, Pearson Field]
  • A. Pearson Field chosen
    Pearson Field is a historic general aviation airport in Vancouver, Washington, recognized as one of the oldest continuously operating airfields in the United States.
  • B. Merrill Field
    Merrill Field is a public general aviation airport in Anchorage, Alaska, serving as one of the city's primary airfields for small aircraft operations.
  • C. Bowerman Airport
    Bowerman Airport is a public airport serving the city of Hoquiam and the surrounding Grays Harbor region in Washington State.
  • D. Grimes Field Airport
    Grimes Field Airport is a public general aviation airport serving Urbana and the surrounding Champaign County area in Ohio.
  • E. Palmer Municipal Airport
    Palmer Municipal Airport is a public-use airport serving the city of Palmer and the surrounding Matanuska-Susitna Valley region in Alaska.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83d2e5c81908499e0a0a2a3503b completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:51 p.m.