Triple

T4109550
Position Surface form Disambiguated ID Type / Status
Subject Erzurum Province E88537 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Yakutiye
Yakutiye is a central district and municipality of the city of Erzurum in eastern Turkey, serving as one of its main administrative and urban areas.
 E414216 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: Yakutiye | Statement: [Erzurum Province, hasPopulationCenter, Yakutiye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yakutiye
Context triple: [Erzurum Province, hasPopulationCenter, Yakutiye]
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • E. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • 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: Yakutiye
Triple: [Erzurum Province, hasPopulationCenter, Yakutiye]
Generated description
Yakutiye is a central district and municipality of the city of Erzurum in eastern Turkey, serving as one of its main administrative and urban areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yakutiye
Target entity description: Yakutiye is a central district and municipality of the city of Erzurum in eastern Turkey, serving as one of its main administrative and urban areas.
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • E. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
NEDg Description generation batch_69b56f7c95988190991350cfbdda9dde completed March 14, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69b56fd9293c8190ac60091bc4c447ef completed March 14, 2026, 2:25 p.m.
Created at: March 9, 2026, 3:41 p.m.