Triple

T6745710
Position Surface form Disambiguated ID Type / Status
Subject Salinas River E154206 entity
Predicate passesNear P416 FINISHED
Object Soledad, California E140213 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: Soledad, California | Statement: [Salinas River, passesNear, Soledad, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soledad, California
Context triple: [Salinas River, passesNear, Soledad, California]
  • A. Soledad, California chosen
    Soledad, California is a small agricultural city in Monterey County best known as the primary gateway to Pinnacles National Park.
  • B. Calexico, California
    Calexico, California is a small border city in Imperial County that serves as a major gateway for trade and travel between the United States and Mexicali, Mexico.
  • C. Alvarado, California
    Alvarado, California was a former town in Alameda County that later became part of present-day Union City.
  • D. Duarte, California
    Duarte, California is a small suburban city in Los Angeles County known for its location along historic Route 66 at the base of the San Gabriel Mountains.
  • E. San Carlos, California
    San Carlos, California is a small city on the San Francisco Peninsula known for its suburban charm, vibrant downtown, and role as a local transportation and business hub.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b74ae081908575c4e47c0ef297 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f86e9848190958e8f7a195fd20b completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:10 p.m.