Triple

T13144003
Position Surface form Disambiguated ID Type / Status
Subject Metrotren Nos commuter service E312287 entity
Predicate hasStation P35 FINISHED
Object San Bernardo E145222 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 Bernardo | Statement: [Metrotren Nos commuter service, hasStation, San Bernardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Bernardo
Context triple: [Metrotren Nos commuter service, hasStation, San Bernardo]
  • A. San Bernardo chosen
    San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
  • B. San Bernardo
    San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
  • C. San Bernardo
    San Bernardo is a major transport hub and metro station in Seville, Spain, serving as an interchange between urban rail, tram, and bus services.
  • D. Saint Bernard
    Saint Bernard is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and vulnerability to landslides and typhoons.
  • E. St. Bernard
    St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae4a87881908be57e15f001c904 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.