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.