Triple

T37097233
Position Surface form Disambiguated ID Type / Status
Subject Maquassi Hills Local Municipality E918594 entity
Predicate hasExecutiveMayor P185 FINISHED
Object executive mayor of Maquassi Hills 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: executive mayor of Maquassi Hills | Statement: [Maquassi Hills Local Municipality, hasExecutiveMayor, executive mayor of Maquassi Hills]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExecutiveMayor
Context triple: [Maquassi Hills Local Municipality, hasExecutiveMayor, executive mayor of Maquassi Hills]
  • A. hasMayor chosen
    Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
  • B. hasMunicipalExecutiveCommittee
    Indicates that a municipality is associated with a specific executive committee responsible for its administrative or executive functions.
  • C. hasViceMayor
    Indicates that an entity holds the position of vice mayor for a given administrative or governmental body.
  • D. hasCityManager
    Indicates that an entity has a specific individual who serves in the role of city manager for it.
  • E. hasHeadOfLocalGovernment
    Indicates that an administrative area is associated with the person who serves as its chief local government official.
  • 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_69f76e9a48bc8190a3947508d8bca408 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: May 3, 2026, 4:14 p.m.