Triple

T14760784
Position Surface form Disambiguated ID Type / Status
Subject Texas County E346854 entity
Predicate borders P224 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: [Texas County, borders, Cimarron County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimarron County
Context triple: [Texas County, borders, 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. Teller County
    Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
  • D. Peel County
    Peel County was a historic county in southern Ontario, Canada, that once formed part of the regional division of the province before later being reorganized into the Regional Municipality of Peel.
  • E. Harper County
    Harper County is a sparsely populated rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b1ff0c81908d5dffbaf86c3ca3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.