Triple

T13763919
Position Surface form Disambiguated ID Type / Status
Subject San Juan Creek AVA E330685 entity
Predicate locatedNear P294 FINISHED
Object San Juan Creek E610124 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: San Juan Creek | Statement: [San Juan Creek AVA, locatedNear, San Juan Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Juan Creek
Context triple: [San Juan Creek AVA, locatedNear, San Juan Creek]
  • A. San Juan Creek chosen
    San Juan Creek is a stream in San Luis Obispo County, California, that drains the rural area around the community of Shandon.
  • B. San Lorenzo Creek
    San Lorenzo Creek is a stream in central California that serves as a significant tributary within the Salinas River watershed.
  • C. San Vicente Creek
    San Vicente Creek is a stream in San Diego County, California, that flows through the local watershed before joining the San Diego River.
  • D. San Luis Creek
    San Luis Creek is a stream in central California that serves as a primary tributary feeding the San Luis Reservoir in Merced County.
  • E. Alhambra Creek
    Alhambra Creek is a small urban waterway running through Martinez in Contra Costa County, California, known for its role in local flood control and habitat restoration efforts.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 10:10 p.m.