Triple

T17212782
Position Surface form Disambiguated ID Type / Status
Subject Kemer E417772 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Çamyuva
Çamyuva is a coastal resort town on Turkey’s Mediterranean Riviera, known for its beaches, pine forests, and proximity to the tourist hub of Kemer.
 E1257116 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: Çamyuva | Statement: [Kemer, hasNearbyAttraction, Çamyuva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Çamyuva
Context triple: [Kemer, hasNearbyAttraction, Çamyuva]
  • A. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • B. Cumaovası
    Cumaovası is a settlement in western Turkey that forms part of the district and municipality of Menderes in İzmir Province.
  • C. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • D. Mezitli
    Mezitli is a coastal district and municipality of the city of Mersin in southern Turkey, known for its Mediterranean shoreline and growing urban residential areas.
  • E. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • 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: Çamyuva
Triple: [Kemer, hasNearbyAttraction, Çamyuva]
Generated description
Çamyuva is a coastal resort town on Turkey’s Mediterranean Riviera, known for its beaches, pine forests, and proximity to the tourist hub of Kemer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Çamyuva
Target entity description: Çamyuva is a coastal resort town on Turkey’s Mediterranean Riviera, known for its beaches, pine forests, and proximity to the tourist hub of Kemer.
  • A. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • B. Cumaovası
    Cumaovası is a settlement in western Turkey that forms part of the district and municipality of Menderes in İzmir Province.
  • C. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • D. Mezitli
    Mezitli is a coastal district and municipality of the city of Mersin in southern Turkey, known for its Mediterranean shoreline and growing urban residential areas.
  • E. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc68a2c81908564231853b40db9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674fadc48190aa4a627ec9f72341 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016826c4748190afbb4f6c53324d21 completed May 11, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0168d42b608190ad253167411dfeab completed May 11, 2026, 5:27 a.m.
Created at: April 10, 2026, 5:38 a.m.