Triple

T21408782
Position Surface form Disambiguated ID Type / Status
Subject Municipality of San Bernardo E528110 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object San Bernardo NE NERFINISHED

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: [Municipality of San Bernardo, hasAdministrativeCenter, San Bernardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Bernardo
Context triple: [Municipality of San Bernardo, hasAdministrativeCenter, 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. Saint Bernard
    The Saint Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1b316a48190ad43394dc35a54e0 completed April 22, 2026, 11:32 a.m.
Created at: April 16, 2026, 5:33 p.m.