Triple

T14970425
Position Surface form Disambiguated ID Type / Status
Subject California State Route 91 E373301 entity
Predicate passesThrough P225 FINISHED
Object Cerritos E269132 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: Cerritos | Statement: [California State Route 91, passesThrough, Cerritos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerritos
Context triple: [California State Route 91, passesThrough, Cerritos]
  • A. Cerritos chosen
    Cerritos is a suburban city in southeastern Los Angeles County, California, known for its planned residential communities, strong public schools, and major retail centers like the Los Cerritos Center.
  • B. El Cerrito
    El Cerrito is a small suburban city in California's San Francisco Bay Area, located in western Contra Costa County just north of Berkeley.
  • C. San José de los Cedros
    San José de los Cedros is a residential neighborhood located within the borough of Cuajimalpa de Morelos in Mexico City.
  • D. Villacarrillo
    Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
  • E. Cajamar
    Cajamar is a municipality in the state of São Paulo, Brazil, known for its strategic location within the São Paulo metropolitan region and its growing industrial and logistics sectors.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.