Triple

T21458830
Position Surface form Disambiguated ID Type / Status
Subject KCIC E529414 entity
Predicate servesRegion P82 FINISHED
Object Butte 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: Butte County | Statement: [KCIC, servesRegion, Butte County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butte County
Context triple: [KCIC, servesRegion, Butte County]
  • A. Butte County chosen
    Butte County is a largely rural county in Northern California known for its agricultural production, college town of Chico, and proximity to the Sierra Nevada foothills.
  • B. Butte County
    Butte County is a sparsely populated rural county in eastern Idaho known for its high desert landscapes and proximity to the Idaho National Laboratory.
  • C. Mariposa County
    Mariposa County is a rural county in central California best known as the gateway to much of Yosemite National Park and the Sierra Nevada.
  • D. Alpine County
    Alpine County is a sparsely populated, mountainous county in eastern California known for its high Sierra Nevada landscapes and outdoor recreation.
  • E. Sierra County
    Sierra County is a sparsely populated, mountainous county in northeastern California known for its rugged Sierra Nevada landscapes and historic Gold Rush-era towns.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:08 p.m.