Triple

T11828833
Position Surface form Disambiguated ID Type / Status
Subject Loving E281328 entity
Predicate locatedIn P40 FINISHED
Object Eddy County E58774 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: Eddy County | Statement: [Loving, locatedIn, Eddy County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddy County
Context triple: [Loving, locatedIn, Eddy County]
  • A. Eddy County chosen
    Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
  • B. Teller County
    Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
  • C. Comanche County
    Comanche County is a county in southwestern Oklahoma, United States, known for encompassing the city of Lawton and parts of the Fort Sill military installation.
  • D. McKinley County
    McKinley County is a county in northwestern New Mexico known for its significant Native American population, including parts of the Navajo Nation and Zuni Pueblo, and its seat in the city of Gallup.
  • E. Scurry County
    Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41787c08c8190a3427aaf2f639889 completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.