Triple
T14512370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman Province |
E340428
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kozluk
Kozluk is a town and district in southeastern Turkey known for its location within Batman Province and its predominantly Kurdish population.
|
E1102723
|
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: Kozluk | Statement: [Batman Province, hasCity, Kozluk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kozluk Context triple: [Batman Province, hasCity, Kozluk]
-
A.
Kınık
Kınık is a town and district in western Turkey known for its agricultural activities and location within İzmir Province.
-
B.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
C.
Koçarlı
Koçarlı is a town and district in western Turkey, located inland within Aydın Province and known for its agricultural activities.
-
D.
Uzkoye
Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
-
E.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
- 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: Kozluk Triple: [Batman Province, hasCity, Kozluk]
Generated description
Kozluk is a town and district in southeastern Turkey known for its location within Batman Province and its predominantly Kurdish population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kozluk Target entity description: Kozluk is a town and district in southeastern Turkey known for its location within Batman Province and its predominantly Kurdish population.
-
A.
Kınık
Kınık is a town and district in western Turkey known for its agricultural activities and location within İzmir Province.
-
B.
Kumluova
Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
-
C.
Koçarlı
Koçarlı is a town and district in western Turkey, located inland within Aydın Province and known for its agricultural activities.
-
D.
Uzkoye
Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
-
E.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da48b2c8190a906965a7ebcb607 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f94fd608190bf874869ff15fdf5 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7041102c8190bc6f3d3011004d7a |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 10, 2026, 1:21 a.m.