Triple

T34094295
Position Surface form Disambiguated ID Type / Status
Subject Barangay X E874380 entity
Predicate typeOfLocalGovernmentUnit P32279 FINISHED
Object barangay in Victorias City 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 in Victorias City | Statement: [Barangay X, typeOfLocalGovernmentUnit, barangay in Victorias City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLocalGovernmentUnit
Context triple: [Barangay X, typeOfLocalGovernmentUnit, barangay in Victorias City]
  • A. localGovernmentAreaType
    Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
  • B. hasLocalGovernmentUnitClass
    Indicates that a local government unit belongs to or is categorized under a specific administrative or governmental classification.
  • C. governmentalUnitType chosen
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • D. hasLocalGovernmentTier
    Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
  • E. typeOfDistrict
    Indicates the specific category or classification to which a given district belongs.
  • 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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a011ee3507081908b42de4278ae0b83 completed May 11, 2026, 12:12 a.m.
PD Predicate disambiguation batch_6a011e874420819091cac3f08e8aa3f9 completed May 11, 2026, 12:10 a.m.
Created at: May 1, 2026, 1:52 a.m.