Triple

T25588749
Position Surface form Disambiguated ID Type / Status
Subject Dilek İmamoğlu E641460 entity
Predicate spouseOfficeHeldByEkremİmamoğlu P26554 FINISHED
Object Mayor of Istanbul 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: Mayor of Istanbul | Statement: [Dilek İmamoğlu, spouseOfficeHeldByEkremİmamoğlu, Mayor of Istanbul]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOfficeHeldByEkremİmamoğlu
Context triple: [Dilek İmamoğlu, spouseOfficeHeldByEkremİmamoğlu, Mayor of Istanbul]
  • A. spouseOffice chosen
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • B. officeHolderTitleInTurkish
    Indicates the official title or designation of an office holder expressed in the Turkish language.
  • C. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • D. spouseOfOfficeHolderJurisdiction
    Indicates that one person is the spouse of a public office holder, with the relationship specifically tied to the jurisdiction in which that office is held.
  • E. electoralOfficeHolder
    Indicates that one entity holds or occupies a particular elected office or position in a political or electoral system.
  • 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_69e75dc42b588190a98b58e0df359674 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f650c70d7c819093d9a0f005f7c8d5 completed May 2, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69f64cab1f648190a2a9460690d18a37 completed May 2, 2026, 7:12 p.m.
Created at: April 21, 2026, 4:18 p.m.