Triple

T12128800
Position Surface form Disambiguated ID Type / Status
Subject Mersin Province E288878 entity
Predicate hasDistrict P459 FINISHED
Object Bozyazı
Bozyazı is a coastal town and district in southern Turkey known for its Mediterranean beaches, citrus groves, and relatively unspoiled natural environment.
E967922 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: Bozyazı | Statement: [Mersin Province, hasDistrict, Bozyazı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bozyazı
Context triple: [Mersin Province, hasDistrict, Bozyazı]
  • A. Buyruk
    Buyruk is a central Alevi religious text that compiles the teachings, rituals, and moral principles of Alevism.
  • B. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • C. Burgazada
    Burgazada is one of Istanbul’s Princes’ Islands in the Sea of Marmara, known for its tranquil atmosphere, historic wooden houses, and association with writer Sait Faik Abasıyanık.
  • D. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • E. Zaosie
    Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
  • 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: Bozyazı
Triple: [Mersin Province, hasDistrict, Bozyazı]
Generated description
Bozyazı is a coastal town and district in southern Turkey known for its Mediterranean beaches, citrus groves, and relatively unspoiled natural environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bozyazı
Target entity description: Bozyazı is a coastal town and district in southern Turkey known for its Mediterranean beaches, citrus groves, and relatively unspoiled natural environment.
  • A. Buyruk
    Buyruk is a central Alevi religious text that compiles the teachings, rituals, and moral principles of Alevism.
  • B. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • C. Burgazada
    Burgazada is one of Istanbul’s Princes’ Islands in the Sea of Marmara, known for its tranquil atmosphere, historic wooden houses, and association with writer Sait Faik Abasıyanık.
  • D. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • E. Zaosie
    Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6048d6f24819093862fb46f9938f1 completed May 2, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f6056e3fdc81908e6e97c4c37a18bb completed May 2, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:49 p.m.