Triple

T2802929
Position Surface form Disambiguated ID Type / Status
Subject Chaves County E53186 entity
Predicate borders P224 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: [Chaves County, borders, Eddy County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddy County
Context triple: [Chaves County, borders, 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. Scurry County
    Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
  • C. Plumas County
    Plumas County is a rural, mountainous county in northeastern California known for its forests, lakes, and outdoor recreation within the northern Sierra Nevada.
  • D. Pecos County
    Pecos County is a large, sparsely populated county in West Texas known for its desert landscapes, ranching, and oil and gas production.
  • E. Bandera County
    Bandera County is a rural county in south-central Texas known for its scenic Hill Country landscapes and its reputation as the “Cowboy Capital of the World.”
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc4b8f688190827dfedda7a55828 completed March 11, 2026, 5:23 a.m.
Created at: March 6, 2026, 9:59 p.m.