Triple

T13768758
Position Surface form Disambiguated ID Type / Status
Subject Altındağ E330819 entity
Predicate containsPart P35 FINISHED
Object Gülveren
Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
 E1064167 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: Gülveren | Statement: [Altındağ, containsPart, Gülveren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gülveren
Context triple: [Altındağ, containsPart, Gülveren]
  • A. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • B. Gürün
    Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
  • C. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • D. Göklen
    Göklen is a Turkmen ethnic subgroup traditionally inhabiting parts of northeastern Iran and southwestern Turkmenistan, known for their distinct cultural and tribal identity.
  • 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: Gülveren
Triple: [Altındağ, containsPart, Gülveren]
Generated description
Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gülveren
Target entity description: Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
  • A. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • B. Gürün
    Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
  • C. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • D. Göklen
    Göklen is a Turkmen ethnic subgroup traditionally inhabiting parts of northeastern Iran and southwestern Turkmenistan, known for their distinct cultural and tribal identity.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d28cc88190af46b86473af0a1c completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d773f881908660e8a0645d318d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:10 p.m.