Triple

T19642280
Position Surface form Disambiguated ID Type / Status
Subject Quincy, California E471568 entity
Predicate county P75 FINISHED
Object Plumas County NE NERFINISHED

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: [Quincy, California, county, Plumas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plumas County
Context triple: [Quincy, California, county, 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 (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64122d9f48190961c4b460256f9e7 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.