Triple

T22994279
Position Surface form Disambiguated ID Type / Status
Subject Gem County E572139 entity
Predicate hasBorderWith P224 FINISHED
Object Valley 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: Valley County | Statement: [Gem County, hasBorderWith, Valley County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valley County
Context triple: [Gem County, hasBorderWith, Valley County]
  • A. Valley County chosen
    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.
  • 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. Townes County
    Townes County is a county-level jurisdiction in the U.S. state of Georgia located in the northeastern part of the state near the North Carolina border.
  • D. Golden Valley County
    Golden Valley County is a sparsely populated rural county in central Montana known for its agricultural landscape and small communities.
  • E. Woods County
    Woods County is a rural county in northwestern Oklahoma known for its agricultural economy and the city of Alva, home to Northwestern Oklahoma State University.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f1940c8190a5645ee8d8e5e063 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.