Triple

T6491902
Position Surface form Disambiguated ID Type / Status
Subject Tehama County E148059 entity
Predicate borders P224 FINISHED
Object Plumas County E107361 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: Plumas County | Statement: [Tehama County, borders, Plumas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plumas County
Context triple: [Tehama County, borders, Plumas County]
  • A. Plumas County chosen
    Plumas County is a rural, mountainous county in northeastern California known for its forests, lakes, and outdoor recreation within the northern Sierra Nevada.
  • B. Pecos County
    Pecos County is a large, sparsely populated county in West Texas known for its desert landscapes, ranching, and oil and gas production.
  • C. Eddy County
    Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
  • D. Rio Grande County
    Rio Grande County is a rural county in south-central Colorado, known for its agricultural communities and location within the high-altitude San Luis Valley.
  • E. Conejos County
    Conejos County is a rural county in southern Colorado known for its agricultural communities, historic Hispanic settlements, and location within the high-altitude San Luis Valley.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.