Triple

T12128801
Position Surface form Disambiguated ID Type / Status
Subject Mersin Province E288878 entity
Predicate hasDistrict P459 FINISHED
Object Aydıncık
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
E1030607 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: Aydıncık | Statement: [Mersin Province, hasDistrict, Aydıncık]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aydıncık
Context triple: [Mersin Province, hasDistrict, Aydıncık]
  • 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. Pınarbaşı
    Pınarbaşı is a town and district in central Turkey known for its location within Kayseri Province and its traditional Anatolian rural character.
  • C. Reyhanlı
    Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
  • D. Yalıköy
    Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
  • E. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • 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: Aydıncık
Triple: [Mersin Province, hasDistrict, Aydıncık]
Generated description
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aydıncık
Target entity description: Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin 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. Pınarbaşı
    Pınarbaşı is a town and district in central Turkey known for its location within Kayseri Province and its traditional Anatolian rural character.
  • C. Reyhanlı
    Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
  • D. Yalıköy
    Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
  • E. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • 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_69f70a114ccc81909bc428c40c01a461 completed May 3, 2026, 8:40 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:49 p.m.