Triple

T11962125
Position Surface form Disambiguated ID Type / Status
Subject La Cisterna station E284692 entity
Predicate servesMunicipality P3936 FINISHED
Object San Ramón E284695 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: San Ramón | Statement: [La Cisterna station, servesMunicipality, San Ramón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ramón
Context triple: [La Cisterna station, servesMunicipality, San Ramón]
  • A. San Ramón chosen
    San Ramón is a commune in the Santiago Metropolitan Region of Chile, known primarily as a residential area within Greater Santiago.
  • B. San Ramón
    San Ramón is a locality within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
  • C. San Ramón
    San Ramón is a small Nicaraguan town on Ometepe Island, known as a gateway for hiking and exploring the nearby Maderas Volcano and its surrounding natural attractions.
  • D. San Jose de Buenavista
    San Jose de Buenavista is a coastal municipality in the Philippines that serves as the capital of the province of Antique in the Western Visayas region.
  • 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_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.