Triple
T15954661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afyonkarahisar Province |
E386902
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Şuhut
Şuhut is a town and district in western Turkey known for its agricultural economy and historical significance within Afyonkarahisar Province.
|
E1185836
|
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: Şuhut | Statement: [Afyonkarahisar Province, hasCity, Şuhut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şuhut Context triple: [Afyonkarahisar Province, hasCity, Şuhut]
-
A.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
B.
Şahinkaya
Şahinkaya is a village located on the island of İmroz (Gökçeada) in Turkey’s Aegean Sea region.
-
C.
Baskil
Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
-
D.
Hezir
Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
-
E.
Uysal
Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
- 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: Şuhut Triple: [Afyonkarahisar Province, hasCity, Şuhut]
Generated description
Şuhut is a town and district in western Turkey known for its agricultural economy and historical significance within Afyonkarahisar Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Şuhut Target entity description: Şuhut is a town and district in western Turkey known for its agricultural economy and historical significance within Afyonkarahisar Province.
-
A.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
B.
Şahinkaya
Şahinkaya is a village located on the island of İmroz (Gökçeada) in Turkey’s Aegean Sea region.
-
C.
Baskil
Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
-
D.
Hezir
Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
-
E.
Uysal
Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
- 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.