Triple
T10321763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Vilayet |
E242152
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Başkale
Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
|
E866456
|
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: Başkale | Statement: [Van Vilayet, contains, Başkale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Başkale Context triple: [Van Vilayet, contains, Başkale]
-
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.
Büyükerşen
Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
-
C.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
D.
Bafra
Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
-
E.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
- 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: Başkale Triple: [Van Vilayet, contains, Başkale]
Generated description
Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Başkale Target entity description: Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
-
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.
Büyükerşen
Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
-
C.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
D.
Bafra
Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
-
E.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cce38c8190bfa0f2fb53ed0065 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc02ddc481908ab0ea2d1da04dc3 |
completed | April 10, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69d8e8c683608190aa4333ed38e79f53 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901c7684c8190837ed9ef0c2428af |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 11:50 a.m.