Triple

T13187336
Position Surface form Disambiguated ID Type / Status
Subject Balkan welaýaty E313890 entity
Predicate containsCity P294 FINISHED
Object Serdar
Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
 E1028717 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: Serdar | Statement: [Balkan welaýaty, containsCity, Serdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serdar
Context triple: [Balkan welaýaty, containsCity, Serdar]
  • A. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • B. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • C. Gökhan
    Gökhan is a masculine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • D. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • E. Melikgazi
    Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
  • 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: Serdar
Triple: [Balkan welaýaty, containsCity, Serdar]
Generated description
Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serdar
Target entity description: Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
  • A. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • B. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • C. Gökhan
    Gökhan is a masculine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • D. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • E. Melikgazi
    Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1581388190824a5377b64bd0ef completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:15 p.m.