Triple

T2519750
Position Surface form Disambiguated ID Type / Status
Subject Quezon City E55493 entity
Predicate hasLocalGovernmentUnitType P32279 FINISHED
Object highly urbanized 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: highly urbanized city | Statement: [Quezon City, hasLocalGovernmentUnitType, highly urbanized city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentUnitType
Context triple: [Quezon City, hasLocalGovernmentUnitType, highly urbanized city]
  • A. hasLocalGovernmentBody
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • B. hasMunicipalityType
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • C. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • D. 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.
  • E. levelOfGovernment
    Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0bf37c0819088d28b5081ba7556 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.