Triple

T19802668
Position Surface form Disambiguated ID Type / Status
Subject Kahramanmaraş Province E475723 entity
Predicate hasCity P316 FINISHED
Object Ekinözü
Ekinözü is a small town and district in southeastern Turkey known for its natural mineral springs and rural character.
 E1396089 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: Ekinözü | Statement: [Kahramanmaraş Province, hasCity, Ekinözü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ekinözü
Context triple: [Kahramanmaraş Province, hasCity, Ekinözü]
  • A. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • B. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • C. Kozea
    Kozea is a French software company known for developing and maintaining open-source web applications and tools, including the Radicale CalDAV and CardDAV server.
  • D. Uzkoye
    Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
  • E. Ozan
    Ozan is a Turkish given name commonly used for males, often associated with individuals in sports, arts, and public life.
  • 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: Ekinözü
Triple: [Kahramanmaraş Province, hasCity, Ekinözü]
Generated description
Ekinözü is a small town and district in southeastern Turkey known for its natural mineral springs and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ekinözü
Target entity description: Ekinözü is a small town and district in southeastern Turkey known for its natural mineral springs and rural character.
  • A. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • B. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • C. Kozea
    Kozea is a French software company known for developing and maintaining open-source web applications and tools, including the Radicale CalDAV and CardDAV server.
  • D. Uzkoye
    Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
  • E. Ozan
    Ozan is a Turkish given name commonly used for males, often associated with individuals in sports, arts, and public life.
  • 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_6a07c50a78dc8190ae3125974372785c completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c59d56c8819092cd0d6ac6265ebf completed May 16, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07c61cde3081909bfec0054e4cd5e9 completed May 16, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:49 p.m.