Triple
T11623684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa Province |
E276205
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kestel
Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
|
E938261
|
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: Kestel | Statement: [Bursa Province, containsCity, Kestel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kestel Context triple: [Bursa Province, containsCity, Kestel]
-
A.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Kistelek
Kistelek is a small town in southern Hungary known for its agricultural surroundings and location within the Southern Great Plain region.
-
D.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
-
E.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
- 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: Kestel Triple: [Bursa Province, containsCity, Kestel]
Generated description
Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kestel Target entity description: Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
-
A.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Kistelek
Kistelek is a small town in southern Hungary known for its agricultural surroundings and location within the Southern Great Plain region.
-
D.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
-
E.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
- 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_69ee87745b388190a78958fa0c08b89b |
completed | April 26, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69eeb3137f4c8190ba8ac48b2cb419b4 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9845bec81909f0f9b005f75249a |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.