Triple

T3623159
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Northern California E76773 entity
Predicate territoryIncludes P285 FINISHED
Object Sierra County E284452 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: Sierra County | Statement: [Diocese of Northern California, territoryIncludes, Sierra County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra County
Context triple: [Diocese of Northern California, territoryIncludes, Sierra County]
  • A. Sierra County chosen
    Sierra County is a sparsely populated, mountainous county in northeastern California known for its rugged Sierra Nevada landscapes and historic Gold Rush-era towns.
  • B. Carson County
    Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
  • C. Madera County
    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.
  • D. 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.
  • E. Butte County
    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.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daf8199481909fdeed33a4874b4b completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:23 p.m.