Triple

T2626337
Position Surface form Disambiguated ID Type / Status
Subject Eastern California E59126 entity
Predicate hasPart P35 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: [Eastern California, hasPart, Plumas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plumas County
Context triple: [Eastern California, hasPart, 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. Guadalupe County
    Guadalupe County is a rural county in eastern New Mexico known for its historic Route 66 towns, ranching landscapes, and Southwestern desert scenery.
  • E. Chaves County
    Chaves County is a county in southeastern New Mexico best known for its seat, the city of Roswell, and its association with the famous 1947 UFO incident.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.