Triple

T7429343
Position Surface form Disambiguated ID Type / Status
Subject Turgut Özal E171447 entity
Predicate precededByAsPresident P10457 FINISHED
Object Kenan Evren E360351 NE 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: Kenan Evren | Statement: [Turgut Özal, precededByAsPresident, Kenan Evren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenan Evren
Context triple: [Turgut Özal, precededByAsPresident, Kenan Evren]
  • A. Kenan Evren chosen
    Kenan Evren was a Turkish military officer and politician who led the 1980 coup d'état and subsequently served as the 7th President of Turkey.
  • B. Necmettin Bilal
    Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
  • C. Cemal Gürsel
    Cemal Gürsel was a Turkish military officer and statesman who served as the country’s fourth president following the 1960 coup d’état.
  • D. Bülent Arınç
    Bülent Arınç is a Turkish politician and lawyer who served as Speaker of the Grand National Assembly and as a prominent member of the Justice and Development Party (AKP).
  • E. Hasan Ali Toptaş
    Hasan Ali Toptaş is a contemporary Turkish novelist known for his innovative, often surreal narrative style and significant contributions to modern Turkish literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3082f188190af5673d18ac7e87e completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ee844cc819081f44426658c7e27 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:12 p.m.