Triple

T7451808
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma County E172024 entity
Predicate borderedBy P224 FINISHED
Object Kingfisher County E688449 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: Kingfisher County | Statement: [Oklahoma County, borderedBy, Kingfisher County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingfisher County
Context triple: [Oklahoma County, borderedBy, Kingfisher County]
  • A. Kingfisher County chosen
    Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
  • B. Limestone County
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • C. Waller County
    Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
  • D. Ballard County
    Ballard County is a rural county in far western Kentucky, located within the Jackson Purchase region along the Mississippi River.
  • E. Cochran County
    Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e56e62d48190b0e25464ebffe148 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:14 p.m.