Triple

T36940694
Position Surface form Disambiguated ID Type / Status
Subject Bansalan E913753 entity
Predicate hasLevelOfLocalGovernment P80007 FINISHED
Object municipality 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: municipality | Statement: [Bansalan, hasLevelOfLocalGovernment, municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLevelOfLocalGovernment
Context triple: [Bansalan, hasLevelOfLocalGovernment, municipality]
  • A. hasLocalGovernmentTier
    Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
  • B. hasHighestLevelOfLocalGovernment
    Indicates that the subject entity is the top-tier or most authoritative level of local government within a given territorial or administrative area.
  • C. hasHigherLevelLocalGovernmentArea
    Indicates that one local government area is administratively subordinate to, and contained within, another higher-level local government area.
  • D. hasMunicipalLevel chosen
    Indicates that an entity is associated with a specific level or tier within a municipal (local government) hierarchy.
  • E. hasLocalGovernmentBody
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • 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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe72dca2f08190beff17de3d2aada6 completed May 8, 2026, 11:33 p.m.
PD Predicate disambiguation batch_69fe70bca8d08190b810e1e616ceac44 completed May 8, 2026, 11:24 p.m.
Created at: May 3, 2026, 4:13 p.m.