Triple

T20532266
Position Surface form Disambiguated ID Type / Status
Subject Idaho Panhandle E504097 entity
Predicate hasCounty P285 FINISHED
Object Boundary County 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: Boundary County | Statement: [Idaho Panhandle, hasCounty, Boundary County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boundary County
Context triple: [Idaho Panhandle, hasCounty, Boundary County]
  • A. Boundary County chosen
    Boundary County is a rural county in the far northern tip of Idaho, known for its forests, mountains, and location along the Canadian border.
  • B. Fillmore County
    Fillmore County is a rural county in southeastern Minnesota known for its rolling farmland, small towns, and karst landscapes with caves and sinkholes.
  • C. Valley County
    Valley County is a mountainous county in central Idaho known for its extensive forests, outdoor recreation, and inclusion of large portions of Boise National Forest.
  • D. Urana County
    Urana County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
  • E. Forest County
    Forest County is a sparsely populated, heavily forested rural county in northwestern Pennsylvania known for its extensive public lands and outdoor recreation.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06c709881908ef0995426a58759 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.