Triple
T10321760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Vilayet |
E242152
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
|
E855275
|
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: Gevaş | Statement: [Van Vilayet, contains, Gevaş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gevaş Context triple: [Van Vilayet, contains, Gevaş]
-
A.
Kandıra
Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
D.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
E.
Sarnıç
Sarnıç is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, known for its vivid portrayals of everyday life and marginalized characters in Istanbul.
- 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: Gevaş Triple: [Van Vilayet, contains, Gevaş]
Generated description
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gevaş Target entity description: Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
A.
Kandıra
Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
D.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
E.
Sarnıç
Sarnıç is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, known for its vivid portrayals of everyday life and marginalized characters in Istanbul.
- 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_69d71d9b2ad881909f3076f8f9d1b1d3 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d731887d2081908e6b4e33d400582f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329189708190bbd21bd40ec029b0 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:50 a.m.