Triple

T12737957
Position Surface form Disambiguated ID Type / Status
Subject Fethi Okyar E304413 entity
Predicate familyName P18 FINISHED
Object Okyar
Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
 E1001700 NE FINISHED

How this triple was built (4 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: Okyar | Statement: [Fethi Okyar, familyName, Okyar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okyar
Context triple: [Fethi Okyar, familyName, Okyar]
  • A. Alacakaya
    Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
  • B. Ergene
    Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
  • C. Ihlara
    Ihlara is a small village in Turkey’s Cappadocia region that serves as the main gateway to the scenic, rock-hewn Ihlara Valley.
  • D. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • E. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Okyar
Triple: [Fethi Okyar, familyName, Okyar]
Generated description
Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okyar
Target entity description: Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
  • A. Alacakaya
    Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
  • B. Ergene
    Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
  • C. Ihlara
    Ihlara is a small village in Turkey’s Cappadocia region that serves as the main gateway to the scenic, rock-hewn Ihlara Valley.
  • D. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • E. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • F. None of above. chosen

Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684eba2508190966d084cc21dc1ea completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:26 p.m.