Triple

T34449602
Position Surface form Disambiguated ID Type / Status
Subject Municipal Government of Sibulan E884324 entity
Predicate electivePositions P192111 FINISHED
Object mayor of Sibulan LITERAL 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: mayor of Sibulan | Statement: [Municipal Government of Sibulan, electivePositions, mayor of Sibulan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electivePositions
Context triple: [Municipal Government of Sibulan, electivePositions, mayor of Sibulan]
  • A. hasElectivePosition chosen
    Indicates that an entity holds or occupies a position or office that is filled through an election process.
  • B. electoralPosition
    Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
  • C. electiveBody
    Indicates that one entity is an official group or assembly whose members are chosen through an election process by another entity.
  • D. electsAt
    Indicates that an election or selection of someone or something to a position, role, or office occurs at a specific time or in a specific context.
  • E. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • F. None of above.

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_69f349c607688190b553539d14901a35 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff1c91bbac8190b84012dee1cb3b2c completed May 9, 2026, 11:37 a.m.
PD Predicate disambiguation batch_69ff1c23ca508190bb5a435d765b7e53 completed May 9, 2026, 11:36 a.m.
Created at: May 1, 2026, 2 a.m.