Triple

T34488015
Position Surface form Disambiguated ID Type / Status
Subject Talas E885383 entity
Predicate isPartOfMetropolitanMunicipality P294 FINISHED
Object Kayseri Metropolitan Municipality NE NERFINISHED

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: Kayseri Metropolitan Municipality | Statement: [Talas, isPartOfMetropolitanMunicipality, Kayseri Metropolitan Municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfMetropolitanMunicipality
Context triple: [Talas, isPartOfMetropolitanMunicipality, Kayseri Metropolitan Municipality]
  • A. containsMetropolitanMunicipality
    Indicates that a given region or administrative area includes one or more metropolitan municipalities within its boundaries.
  • B. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • C. partOfMetropolitanArea chosen
    Indicates that one place is included within and belongs to the larger metropolitan area of another place.
  • D. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • E. isPartOfMicropolitanArea
    Indicates that an entity belongs to or is included within a designated micropolitan area.
  • 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_69f349c947fc81909d30b53c194d6ea1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff63225b6481909217ad11b4f7d3ba completed May 9, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69ff60e0882c819085d097010db43ee0 completed May 9, 2026, 4:29 p.m.
Created at: May 1, 2026, 2:01 a.m.