Triple

T21605980
Position Surface form Disambiguated ID Type / Status
Subject Ada County E533172 entity
Predicate hasAirport P105 FINISHED
Object Boise 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: Boise Airport | Statement: [Ada County, hasAirport, Boise Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boise Airport
Context triple: [Ada County, 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. Coeur d’Alene Airport
    Coeur d’Alene Airport is a public general aviation airport serving the Coeur d’Alene and Rathdrum area in northern Idaho.
  • D. 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.
  • E. 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.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e5783481909db36c388f3ae227 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.