Triple

T3653830
Position Surface form Disambiguated ID Type / Status
Subject Gateway Cities E77482 entity
Predicate hasCity P316 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: [Gateway Cities, hasCity, Cerritos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerritos
Context triple: [Gateway Cities, hasCity, 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. 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.
  • C. 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.
  • D. San Félix
    San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
  • E. Puerto López
    Puerto López is a coastal town in Ecuador renowned for its beaches, whale-watching opportunities, and access to Machalilla National Park.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b9164c81908938a4338430d193 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883bb50c8190bd383b21ac748a2e completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.