Triple

T17868546
Position Surface form Disambiguated ID Type / Status
Subject California's 1st congressional district E446768 entity
Predicate contains P35 FINISHED
Object Sierra 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: Sierra County | Statement: [California's 1st congressional district, contains, Sierra County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra County
Context triple: [California's 1st congressional district, contains, 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. Sierra County
    Sierra County is a sparsely populated county in southern New Mexico known for its desert landscapes, historic trails, and proximity to sites like Spaceport America and Truth or Consequences.
  • C. Carson County
    Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
  • D. Treasure County
    Treasure County is a sparsely populated rural county in south-central Montana known for its agricultural landscape along the Yellowstone River.
  • E. Prescott County
    Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.