Triple

T2823286
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma Panhandle E54859 entity
Predicate composedOf P402 FINISHED
Object Cimarron County E287328 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: Cimarron County | Statement: [Oklahoma Panhandle, composedOf, Cimarron County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimarron County
Context triple: [Oklahoma Panhandle, composedOf, Cimarron County]
  • A. Eddy County
    Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
  • B. Cimarron County, Oklahoma chosen
    Cimarron County, Oklahoma is a sparsely populated county in the Oklahoma Panhandle known for its remote High Plains landscape and paleontological significance.
  • C. Harper County
    Harper County is a sparsely populated rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • D. Scurry County
    Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
  • E. Sweetwater County
    Sweetwater County is a vast, sparsely populated county in southwestern Wyoming known for its high desert landscapes, energy resources, and outdoor recreation.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde71fdc08190b18660261fe24adf completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0668748190ad09ce0fabc0fefe completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 9:59 p.m.