Triple
T15954663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afyonkarahisar Province |
E386902
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Çobanlar
Çobanlar is a small town and district in western Turkey, situated within Afyonkarahisar Province.
|
E1185838
|
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: Çobanlar | Statement: [Afyonkarahisar Province, hasCity, Çobanlar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çobanlar Context triple: [Afyonkarahisar Province, hasCity, Çobanlar]
-
A.
Kovancılar
Kovancılar is a town and district in eastern Turkey, located within Elazığ Province.
-
B.
Bozkurtlar
Bozkurtlar is the Turkish name for the Grey Wolves, a Turkish ultranationalist organization known for its far-right ideology and militant activities.
-
C.
Bostan
Bostan is a town in Pakistan’s Balochistan province that serves as a regional railway junction and transit point between Quetta and Chaman.
-
D.
The Shepherd
The Shepherd is a suspenseful novella by Frederick Forsyth about a Royal Air Force pilot lost over the North Sea on Christmas Eve who encounters a mysterious guiding aircraft.
-
E.
The Shepherd
The Shepherd is a pastoral painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined treatment of rural subjects and atmospheric landscapes.
- 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: Çobanlar Triple: [Afyonkarahisar Province, hasCity, Çobanlar]
Generated description
Çobanlar is a small town and district in western Turkey, situated within Afyonkarahisar Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Çobanlar Target entity description: Çobanlar is a small town and district in western Turkey, situated within Afyonkarahisar Province.
-
A.
Kovancılar
Kovancılar is a town and district in eastern Turkey, located within Elazığ Province.
-
B.
Bozkurtlar
Bozkurtlar is the Turkish name for the Grey Wolves, a Turkish ultranationalist organization known for its far-right ideology and militant activities.
-
C.
Bostan
Bostan is a town in Pakistan’s Balochistan province that serves as a regional railway junction and transit point between Quetta and Chaman.
-
D.
The Shepherd
The Shepherd is a suspenseful novella by Frederick Forsyth about a Royal Air Force pilot lost over the North Sea on Christmas Eve who encounters a mysterious guiding aircraft.
-
E.
The Shepherd
The Shepherd is a pastoral painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined treatment of rural subjects and atmospheric landscapes.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.