Triple

T11914262
Position Surface form Disambiguated ID Type / Status
Subject Chippewa County International Airport E283472 entity
Predicate owner P347 FINISHED
Object Chippewa County E1080026 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: Chippewa County | Statement: [Chippewa County International Airport, owner, Chippewa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chippewa County
Context triple: [Chippewa County International Airport, owner, Chippewa County]
  • A. Chippewa County chosen
    Chippewa County is a county-level local government jurisdiction in the U.S. state of Michigan that administers regional services and infrastructure for its residents.
  • B. Huron County
    Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
  • C. Missaukee County
    Missaukee County is a rural county in northern Michigan known for its forests, lakes, and agricultural landscape.
  • D. Beltrami County
    Beltrami County is a county in northern Minnesota known for its extensive forests, lakes, and outdoor recreation areas.
  • E. 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.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e52a2bc08190b80cc6ccf5779d7c completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee6798c8190b2b47082cf0c32fb completed May 7, 2026, 6:50 p.m.
Created at: April 8, 2026, 9:44 p.m.