Triple

T12649529
Position Surface form Disambiguated ID Type / Status
Subject McClain County, Oklahoma E302119 entity
Predicate hasOfficialName P66 FINISHED
Object McClain County E690664 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: McClain County | Statement: [McClain County, Oklahoma, hasOfficialName, McClain County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McClain County
Context triple: [McClain County, Oklahoma, hasOfficialName, McClain County]
  • A. McClain County chosen
    McClain County is a county in central Oklahoma that forms part of the greater Oklahoma City metropolitan region.
  • B. Kelan County
    Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
  • C. Grundy County
    Grundy County is a county in northeastern Illinois known for its mix of rural communities, agriculture, and growing exurban areas southwest of the Chicago metropolitan region.
  • D. Grundy County
    Grundy County is a rural county in central Iowa known for its agricultural landscape and small communities.
  • E. Meade County
    Meade County is a county in western South Dakota known for its paleontological sites and proximity to the Black Hills region.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ea02e08190b3be1fdfe86b4ee5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:18 p.m.