Triple

T8995699
Position Surface form Disambiguated ID Type / Status
Subject Yuba County E214900 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: [Yuba County, borders, Plumas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plumas County
Context triple: [Yuba 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d0e6a08190a2faf4157b8a9cd4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.