Triple
T14127858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kırıkkale Province |
E340080
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Sulakyurt
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
|
E1083367
|
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: Sulakyurt | Statement: [Kırıkkale Province, hasDistrict, Sulakyurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulakyurt Context triple: [Kırıkkale Province, hasDistrict, Sulakyurt]
-
A.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
B.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
C.
Gökalp
Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Uysal
Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
- 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: Sulakyurt Triple: [Kırıkkale Province, hasDistrict, Sulakyurt]
Generated description
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sulakyurt Target entity description: Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
-
A.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
B.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
C.
Gökalp
Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Uysal
Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e2b0248190ba40aa8395355052 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd01330fb4819081dda9356739bbe3 |
completed | May 7, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd019ffff881908a9e62df81058b17 |
completed | May 7, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:22 p.m.