Triple

T10172068
Position Surface form Disambiguated ID Type / Status
Subject Mehmet Ali Şahin E235354 entity
Predicate name P16 FINISHED
Object Mehmet Ali Şahin E235354 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: Mehmet Ali Şahin | Statement: [Mehmet Ali Şahin, name, Mehmet Ali Şahin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehmet Ali Şahin
Context triple: [Mehmet Ali Şahin, name, Mehmet Ali Şahin]
  • A. Mehmet Ali Şahin chosen
    Mehmet Ali Şahin is a Turkish politician who has served in prominent roles including Speaker of the Grand National Assembly and Minister of Justice.
  • B. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • C. Tahsin Özgüç
    Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
  • D. Fahri Korutürk
    Fahri Korutürk was a Turkish admiral, diplomat, and statesman who served as the sixth President of Turkey from 1973 to 1980.
  • E. Ahmed Ağaoğlu
    Ahmed Ağaoğlu was a prominent late Ottoman and early Republican Turkish-Azerbaijani intellectual, journalist, and politician known for his advocacy of modernization, nationalism, and liberal reforms.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30101e3ec819095a587c0dae55f71 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.