Triple

T23269809
Position Surface form Disambiguated ID Type / Status
Subject Los Olivos E588255 entity
Predicate near P350 FINISHED
Object Santa Ynez 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: Santa Ynez | Statement: [Los Olivos, near, Santa Ynez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Ynez
Context triple: [Los Olivos, near, Santa Ynez]
  • A. Santa Ynez Valley chosen
    Santa Ynez Valley is a renowned wine-producing region in Santa Barbara County, California, known for its picturesque rolling hills, vineyards, and charming small towns.
  • B. Cuyama Valley
    Cuyama Valley is a rural agricultural valley in central California known for its ranching, farming, and relatively remote, undeveloped landscape.
  • C. Shasta Valley
    Shasta Valley is a broad agricultural and ranching valley in far northern California, dominated by views of Mount Shasta and known for its dry climate and volcanic landscape.
  • D. Sierra Valley
    Sierra Valley is a high-elevation alpine valley in the northern Sierra Nevada of California, known for its expansive wetlands, ranchlands, and rich birdlife.
  • E. Anza Vista
    Anza Vista is a small residential neighborhood in San Francisco, California, known for its quiet streets, mid-century housing, and proximity to major medical and shopping centers.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957324bc8190b8b53d4b18386151 completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:45 p.m.