Triple

T23269788
Position Surface form Disambiguated ID Type / Status
Subject Santa Barbara County wine region E588254 entity
Predicate hasTown P847 FINISHED
Object Los Olivos 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: Los Olivos | Statement: [Santa Barbara County wine region, hasTown, Los Olivos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Olivos
Context triple: [Santa Barbara County wine region, hasTown, Los Olivos]
  • A. Los Olivos
    Los Olivos is a predominantly residential and commercial district in northern Lima, Peru, known for its growing middle-class population and active retail and educational hubs.
  • B. Los Olivos chosen
    Los Olivos is a small, upscale wine-country town in California’s Santa Ynez Valley, known for its vineyards, tasting rooms, and charming rural atmosphere.
  • C. Los Olivos
    Los Olivos is a neighborhood located within the Chapinero locality of Bogotá, Colombia, known for its urban residential character.
  • D. Las Lomas
    Las Lomas is an affluent residential and commercial district in Mexico City known for its upscale homes, embassies, and exclusive shops.
  • E. Interlomas
    Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
  • 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.