Triple
T11623669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa Province |
E276205
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
İnegöl
İnegöl is a town and district in northwestern Turkey known for its furniture industry and distinctive İnegöl köfte (meatballs).
|
E983081
|
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: İnegöl | Statement: [Bursa Province, containsCity, İnegöl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İnegöl Context triple: [Bursa Province, containsCity, İnegöl]
-
A.
Bayraklı
Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
-
B.
Yalova
Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
-
C.
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.
-
D.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
E.
Avcılar
Avcılar is a district on the European side of Istanbul, Turkey, known for its residential areas, university campus, and location along the Marmara Sea.
- 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: İnegöl Triple: [Bursa Province, containsCity, İnegöl]
Generated description
İnegöl is a town and district in northwestern Turkey known for its furniture industry and distinctive İnegöl köfte (meatballs).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: İnegöl Target entity description: İnegöl is a town and district in northwestern Turkey known for its furniture industry and distinctive İnegöl köfte (meatballs).
-
A.
Bayraklı
Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
-
B.
Yalova
Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
-
C.
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.
-
D.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
E.
Avcılar
Avcılar is a district on the European side of Istanbul, Turkey, known for its residential areas, university campus, and location along the Marmara Sea.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ed82a548190ab9326daef78e30b |
completed | May 2, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6416d02008190a9e36658d7194787 |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:39 p.m.