Triple

T26583777
Position Surface form Disambiguated ID Type / Status
Subject Kağıthane E667148 entity
Predicate partOfMetropolitanMunicipality P294 FINISHED
Object Istanbul 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: Istanbul Metropolitan Municipality | Statement: [Kağıthane, partOfMetropolitanMunicipality, Istanbul Metropolitan Municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfMetropolitanMunicipality
Context triple: [Kağıthane, partOfMetropolitanMunicipality, Istanbul Metropolitan Municipality]
  • A. containsMetropolitanMunicipality
    Indicates that a given region or administrative area includes one or more metropolitan municipalities within its boundaries.
  • B. partOfMetropolitanArea chosen
    Indicates that one place is included within and belongs to the larger metropolitan area of another place.
  • C. partOfMetropolitanBorough
    Indicates that one administrative area is contained within and governed as part of a specific metropolitan borough.
  • D. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • E. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • 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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: April 27, 2026, 2:04 a.m.