Triple

T23048330
Position Surface form Disambiguated ID Type / Status
Subject Poličnik E573939 entity
Predicate hasMunicipalMayor P185 FINISHED
Object municipal mayor of Poličnik 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: municipal mayor of Poličnik | Statement: [Poličnik, hasMunicipalMayor, municipal mayor of Poličnik]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalMayor
Context triple: [Poličnik, hasMunicipalMayor, municipal mayor of Poličnik]
  • A. hasMayor chosen
    Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
  • B. hasMayorOffice
    Indicates that a particular entity serves as the office or official position held by a mayor of another entity.
  • C. hasViceMayor
    Indicates that an entity holds the position of vice mayor for a given administrative or governmental body.
  • D. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • E. hasCityManager
    Indicates that an entity has a specific individual who serves in the role of city manager for it.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867a206c81909ff923cbf56f7787 completed April 29, 2026, 4:18 a.m.
PD Predicate disambiguation batch_69ef89d5f71881908b9f9d0c8aab278c completed April 27, 2026, 4:07 p.m.
Created at: April 17, 2026, 3:54 p.m.