Triple

T2420121
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Basin E53399 entity
Predicate contains P35 FINISHED
Object Santa Ana E34944 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: Santa Ana | Statement: [Los Angeles Basin, contains, Santa Ana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Ana
Context triple: [Los Angeles Basin, contains, Santa Ana]
  • A. Santa Ana chosen
    Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
  • B. Murrieta
    Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
  • C. Hemet
    Hemet is a city in Southern California known for its retirement communities, proximity to the San Jacinto Mountains, and the annual Ramona Pageant, one of the longest-running outdoor plays in the United States.
  • D. San Bernardino
    San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
  • E. Barstow
    Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96e1b3881909de57501b5d4099a completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b72fa288190846e4e68b912c7dc completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:42 p.m.