Triple

T10277918
Position Surface form Disambiguated ID Type / Status
Subject Bilecik Province E241016 entity
Predicate contains P35 FINISHED
Object Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
 E861317 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: Gölpazarı | Statement: [Bilecik Province, contains, Gölpazarı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gölpazarı
Context triple: [Bilecik Province, contains, Gölpazarı]
  • A. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gökçen
    Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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: Gölpazarı
Triple: [Bilecik Province, contains, Gölpazarı]
Generated description
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gölpazarı
Target entity description: Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
  • A. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gökçen
    Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29f0cf08190a2c5e7523d5c731e completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb440b9c81909db46299053e11da completed April 9, 2026, 7:17 p.m.
NEDg Description generation batch_69d822d303888190aa556287b3b1cc03 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 11:37 a.m.