Triple

T19802663
Position Surface form Disambiguated ID Type / Status
Subject Kahramanmaraş Province E475723 entity
Predicate hasCity P316 FINISHED
Object Göksun
Göksun is a town and district in southern Turkey known for its mountainous terrain and location within Kahramanmaraş Province.
 E1399692 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: Göksun | Statement: [Kahramanmaraş Province, hasCity, Göksun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Göksun
Context triple: [Kahramanmaraş Province, hasCity, Göksun]
  • A. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • B. Gündoğmuş
    Gündoğmuş is a small inland district and town in Turkey known for its mountainous terrain and location within Antalya Province in the Mediterranean region.
  • C. Yalçın
    Yalçın is a Turkish surname most notably borne by the influential writer, journalist, and politician Hüseyin Cahit Yalçın.
  • D. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • E. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • 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: Göksun
Triple: [Kahramanmaraş Province, hasCity, Göksun]
Generated description
Göksun is a town and district in southern Turkey known for its mountainous terrain and location within Kahramanmaraş Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Göksun
Target entity description: Göksun is a town and district in southern Turkey known for its mountainous terrain and location within Kahramanmaraş Province.
  • A. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • B. Gündoğmuş
    Gündoğmuş is a small inland district and town in Turkey known for its mountainous terrain and location within Antalya Province in the Mediterranean region.
  • C. Yalçın
    Yalçın is a Turkish surname most notably borne by the influential writer, journalist, and politician Hüseyin Cahit Yalçın.
  • D. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • E. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654257cb4819096fb2aa5d1f7fbb0 completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbb522488190bda92082bed544ec completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:49 p.m.