Triple

T19397229
Position Surface form Disambiguated ID Type / Status
Subject Bonner County E485222 entity
Predicate borders P224 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: [Bonner County, borders, Boundary County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boundary County
Context triple: [Bonner County, borders, 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62573f5788190a635b92121db2cf7 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.