Triple

T7281859
Position Surface form Disambiguated ID Type / Status
Subject Doğan Kuban E163167 entity
Predicate familyName P18 FINISHED
Object Kuban
Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
E656290 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: Kuban | Statement: [Doğan Kuban, familyName, Kuban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuban
Context triple: [Doğan Kuban, familyName, Kuban]
  • A. Kuban River
    The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
  • B. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • C. Gudalovka
    Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
  • D. Byk River
    The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
  • E. Voronezh River
    The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
  • 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: Kuban
Triple: [Doğan Kuban, familyName, Kuban]
Generated description
Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuban
Target entity description: Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • A. Kuban River
    The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
  • B. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • C. Gudalovka
    Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
  • D. Byk River
    The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
  • E. Voronezh River
    The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4d3e3c8190a05cb5af5f52bd75 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eedbbc3c81909a02c4fb63e428c0 completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef5b7ce081908702e564f09f2fe1 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7efb24a488190b53720f521151c61 completed March 28, 2026, 3:11 p.m.
Created at: March 27, 2026, 2:59 p.m.