Triple

T19355110
Position Surface form Disambiguated ID Type / Status
Subject S45 E484123 entity
Predicate identifies P310 FINISHED
Object Siletz Bay State Airport 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: Siletz Bay State Airport | Statement: [S45, identifies, Siletz Bay State Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siletz Bay State Airport
Context triple: [S45, identifies, Siletz Bay State Airport]
  • A. Siletz Bay State Airport chosen
    Siletz Bay State Airport is a small public-use airport in Lincoln County, Oregon, serving general aviation near the Oregon coast.
  • B. Sandpoint Airport
    Sandpoint Airport is a public general aviation airport serving the city of Sandpoint in northern Idaho.
  • C. Ukiah Municipal Airport
    Ukiah Municipal Airport is a public airport serving the city of Ukiah in Mendocino County, California, primarily accommodating general aviation.
  • D. Yuba County Airport
    Yuba County Airport is a public airport serving general aviation needs in the Yuba City area of Northern California.
  • E. Sand Point Airport
    Sand Point Airport is a public airport serving the remote community of Sand Point in Alaska’s Aleutians East Borough, providing vital air transportation and cargo access to the region.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190794188190a94de464d985b5fd completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.