Triple

T35593580
Position Surface form Disambiguated ID Type / Status
Subject provincial administration of Turkey E1028566 entity
Predicate leaderAppointmentBy P86753 FINISHED
Object President of Turkey 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: President of Turkey | Statement: [provincial administration of Turkey, leaderAppointmentBy, President of Turkey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leaderAppointmentBy
Context triple: [provincial administration of Turkey, leaderAppointmentBy, President of Turkey]
  • A. leaderAppointmentBasis
    Indicates the grounds, criteria, or process by which a leader is selected or appointed to their position.
  • B. chairAppointmentBy chosen
    Indicates that one entity formally appoints another entity to serve as the chair of a committee, organization, or similar body.
  • C. appointedAs
    Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
  • D. appointedFrom
    Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
  • E. appointedIn
    Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
  • 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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7bbf906d8819099020e548dd56bc9 completed May 3, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f7b9a2dcf88190a7c9e109e41267be completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:05 p.m.