Triple
T14500051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolu Province |
E359609
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Göynük
Göynük is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
|
E1184771
|
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: Göynük | Statement: [Bolu Province, hasDistrict, Göynük]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göynük Context triple: [Bolu Province, hasDistrict, Göynük]
-
A.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
B.
Gökçen
Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
-
C.
Aydıncık
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
-
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.
Kuyucak
Kuyucak is a town and district in western Turkey, located within Aydın Province and known for its agricultural production and proximity to natural and historical sites.
- 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: Göynük Triple: [Bolu Province, hasDistrict, Göynük]
Generated description
Göynük is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Göynük Target entity description: Göynük is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
-
A.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
B.
Gökçen
Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
-
C.
Aydıncık
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
-
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.
Kuyucak
Kuyucak is a town and district in western Turkey, located within Aydın Province and known for its agricultural production and proximity to natural and historical sites.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de94dfe484819086dd971606e6478e |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb792ebe88190a112a86a3b2dc6ea |
completed | May 9, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7dfbec08190939cdeaf46ea15ae |
completed | May 9, 2026, 10:40 p.m. |
Created at: April 10, 2026, 1:21 a.m.