Triple

T15329318
Position Surface form Disambiguated ID Type / Status
Subject Southern Idaho E366490 entity
Predicate hasAirport P105 FINISHED
Object Boise Airport E155184 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: Boise Airport | Statement: [Southern Idaho, hasAirport, Boise Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boise Airport
Context triple: [Southern Idaho, hasAirport, Boise Airport]
  • A. Boise Airport chosen
    Boise Airport is the primary commercial airport serving Boise and the surrounding region in southwestern Idaho.
  • B. Spokane International Airport
    Spokane International Airport is a commercial airport serving the Spokane metropolitan area and the Inland Northwest region of Washington state.
  • C. Billings Logan International Airport
    Billings Logan International Airport is a public airport in Billings, Montana, serving as a regional aviation hub for commercial, cargo, and general aviation traffic in the northern Rocky Mountain area.
  • D. Eugene Airport
    Eugene Airport is a public airport serving the Eugene–Springfield area in western Oregon and is one of the state's busiest commercial air hubs.
  • E. Yellowstone Airport
    Yellowstone Airport is a public airport serving the town of West Yellowstone, Montana, and providing convenient air access to Yellowstone National Park.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.