Triple
T4526889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konya Province |
E106200
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Doğanhisar
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
|
E470975
|
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: Doğanhisar | Statement: [Konya Province, hasDistrict, Doğanhisar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doğanhisar Context triple: [Konya Province, hasDistrict, Doğanhisar]
-
A.
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.
-
B.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
C.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
-
D.
Keçiören
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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: Doğanhisar Triple: [Konya Province, hasDistrict, Doğanhisar]
Generated description
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doğanhisar Target entity description: Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
-
A.
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.
-
B.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
C.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
-
D.
Keçiören
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d66d4948190a095a92d0e3778ca |
completed | March 21, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69be4df820408190822de7b30a15cb9e |
completed | March 21, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4e95399c81908d152c7f1485c1e8 |
completed | March 21, 2026, 7:53 a.m. |
Created at: March 20, 2026, 1:03 p.m.