Triple

T7008085
Position Surface form Disambiguated ID Type / Status
Subject Algodones Dunes E162508 entity
Predicate closestCity P1982 FINISHED
Object El Centro, California E405160 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: El Centro, California | Statement: [Algodones Dunes, closestCity, El Centro, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Centro, California
Context triple: [Algodones Dunes, closestCity, El Centro, California]
  • A. El Centro, California, United States chosen
    El Centro is a small city in California’s Imperial Valley near the U.S.–Mexico border, known as an agricultural and regional commercial center.
  • B. La Puente, California
    La Puente, California is a small, predominantly Latino suburban city in Los Angeles County located in the eastern San Gabriel Valley.
  • C. 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.
  • D. Columbia, California
    Columbia, California is a historic Gold Rush-era town in Tuolumne County preserved as a state historic park and popular tourist destination.
  • E. Carson, California
    Carson, California is a city in Los Angeles County known for hosting major sports events and venues, including professional soccer and football stadiums.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82754e9248190b86b05b61a4ae23c completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:33 p.m.