Triple

T37639747
Position Surface form Disambiguated ID Type / Status
Subject Bagong Silangan E936581 entity
Predicate hasElectivePosition P192111 FINISHED
Object barangay captain 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: barangay captain | Statement: [Bagong Silangan, hasElectivePosition, barangay captain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElectivePosition
Context triple: [Bagong Silangan, hasElectivePosition, barangay captain]
  • A. isElectedPositionIn
    Indicates that a given position is one that is filled through an election process within a specified organization, jurisdiction, or governing body.
  • B. isElectedFor
    Indicates that an entity attains a position, role, or office as the result of an election for that specific position.
  • C. isElectoralOffice
    Indicates that the referenced position or role is an official public office filled through an electoral process.
  • D. hasElectoralDignityIn
    Indicates that an entity holds or possesses electoral authority, status, or office within a specified political or electoral jurisdiction.
  • E. hasElectoralLevel
    Indicates that one entity is associated with a specific tier or level within an electoral or voting system.
  • F. None of above. chosen

Provenance (4 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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
PDg Predicate description generation batch_69fcf36bb86c8190a0a0ccf47cb56e5c completed May 7, 2026, 8:17 p.m.
Created at: May 3, 2026, 4:18 p.m.