Triple
T12128798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mersin Province |
E288878
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Gülnar
Gülnar is a rural district and town in southern Turkey known for its mountainous terrain and agricultural economy within Mersin Province.
|
E967920
|
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: Gülnar | Statement: [Mersin Province, hasDistrict, Gülnar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gülnar Context triple: [Mersin Province, hasDistrict, Gülnar]
-
A.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
B.
Beydağ
Beydağ is a small town and district in western Turkey known for its agricultural landscape and location within İzmir Province.
-
C.
Ufuk Talay
Ufuk Talay is an Australian professional football coach and former midfielder, known for managing A-League clubs and contributing to the development of the domestic game.
-
D.
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.
-
E.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
- 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: Gülnar Triple: [Mersin Province, hasDistrict, Gülnar]
Generated description
Gülnar is a rural district and town in southern Turkey known for its mountainous terrain and agricultural economy within Mersin Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gülnar Target entity description: Gülnar is a rural district and town in southern Turkey known for its mountainous terrain and agricultural economy within Mersin Province.
-
A.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
B.
Beydağ
Beydağ is a small town and district in western Turkey known for its agricultural landscape and location within İzmir Province.
-
C.
Ufuk Talay
Ufuk Talay is an Australian professional football coach and former midfielder, known for managing A-League clubs and contributing to the development of the domestic game.
-
D.
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.
-
E.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
- 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.