Triple

T11962253
Position Surface form Disambiguated ID Type / Status
Subject Línea 6 E284696 entity
Predicate hasStation P35 FINISHED
Object Cerrillos E777714 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: Cerrillos | Statement: [Línea 6, hasStation, Cerrillos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerrillos
Context triple: [Línea 6, hasStation, Cerrillos]
  • A. Cerrillos chosen
    Cerrillos is a commune and urban area within the Santiago Metropolitan Region of Chile, known primarily as a residential and industrial district of Greater Santiago.
  • 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. Montañita
    Montañita is a popular Ecuadorian beach town renowned for its surfing waves, vibrant nightlife, and laid-back backpacker atmosphere.
  • D. Alpedrete
    Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
  • E. Cerritos
    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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:45 p.m.