Triple

T11403149
Position Surface form Disambiguated ID Type / Status
Subject Montrose Regional Airport E270165 entity
Predicate owner P347 FINISHED
Object Montrose County E925872 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: Montrose County | Statement: [Montrose Regional Airport, owner, Montrose County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montrose County
Context triple: [Montrose Regional Airport, owner, Montrose County]
  • A. Montrose County chosen
    Montrose County is a county in western Colorado known for its agricultural communities, outdoor recreation, and proximity to Black Canyon of the Gunnison National Park.
  • B. Itasca County
    Itasca County is a large, forested county in northern Minnesota known for its lakes, outdoor recreation, and the city of Grand Rapids as its county seat.
  • C. Alcona County
    Alcona County is a rural county in northeastern Lower Michigan known for its forests, inland lakes, and Lake Huron shoreline.
  • D. Winnebago County
    Winnebago County is a county in east-central Wisconsin that includes cities such as Oshkosh and Neenah along the western shore of Lake Winnebago.
  • E. Winnebago County
    Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:34 p.m.