Triple

T959783
Position Surface form Disambiguated ID Type / Status
Subject Central California E20707 entity
Predicate contains P35 FINISHED
Object Madera County E8275 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: Madera County | Statement: [Central California, contains, Madera County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madera County
Context triple: [Central California, contains, Madera County]
  • A. Madera County chosen
    Madera County is a county in central California known for encompassing part of Yosemite National Park and serving as a gateway to the Sierra Nevada.
  • B. Stanislaus County
    Stanislaus County is a largely agricultural county in California’s Central Valley, centered around the city of Modesto and known for its farming, food processing, and growing suburban communities.
  • 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. Lea County
    Lea County is a largely rural, oil- and gas-producing county in southeastern New Mexico known for its energy industry and agricultural activities.
  • E. Tuolumne County
    Tuolumne County is a rural county in the Sierra Nevada region of California known for its mountainous landscapes, outdoor recreation, and inclusion of part of Yosemite National Park.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b412f9f48190be123e8c20f38962 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1f9fcac481909cb3f6c6dc681e60 completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:40 p.m.