Triple

T8526574
Position Surface form Disambiguated ID Type / Status
Subject Kadir Topbaş E201833 entity
Predicate familyName P18 FINISHED
Object Topbaş
Topbaş is a Turkish surname most notably associated with Kadir Topbaş, a prominent politician and former mayor of Istanbul.
 E741844 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: Topbaş | Statement: [Kadir Topbaş, familyName, Topbaş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Topbaş
Context triple: [Kadir Topbaş, familyName, Topbaş]
  • A. Yeni Turan
    "Yeni Turan" is a political novel by Turkish author Halide Edib Adıvar that explores nationalism, modernization, and social change in the late Ottoman period.
  • B. Başkent Takımı
    Başkent Takımı is a popular nickname for MKE Ankaragücü, a professional football club based in Turkey’s capital city, Ankara.
  • C. Göztepe
    Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
  • D. Topağaç
    Topağaç is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Big Three (Istanbul football clubs)
    The Big Three (Istanbul football clubs) are Turkey’s most prominent and historically successful football rivals—Beşiktaş, Fenerbahçe, and Galatasaray—based in Istanbul.
  • 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: Topbaş
Triple: [Kadir Topbaş, familyName, Topbaş]
Generated description
Topbaş is a Turkish surname most notably associated with Kadir Topbaş, a prominent politician and former mayor of Istanbul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Topbaş
Target entity description: Topbaş is a Turkish surname most notably associated with Kadir Topbaş, a prominent politician and former mayor of Istanbul.
  • A. Yeni Turan
    "Yeni Turan" is a political novel by Turkish author Halide Edib Adıvar that explores nationalism, modernization, and social change in the late Ottoman period.
  • B. Başkent Takımı
    Başkent Takımı is a popular nickname for MKE Ankaragücü, a professional football club based in Turkey’s capital city, Ankara.
  • C. Göztepe
    Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
  • D. Topağaç
    Topağaç is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Big Three (Istanbul football clubs)
    The Big Three (Istanbul football clubs) are Turkey’s most prominent and historically successful football rivals—Beşiktaş, Fenerbahçe, and Galatasaray—based in Istanbul.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.