Triple
T14169704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kırşehir Province |
E351173
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Akpınar
Akpınar is a town and district located within Turkey's Kırşehir Province in Central Anatolia.
|
E1086408
|
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: Akpınar | Statement: [Kırşehir Province, hasSettlement, Akpınar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akpınar Context triple: [Kırşehir Province, hasSettlement, Akpınar]
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Gökalp
Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
-
C.
Karapürçek
Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
D.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
E.
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.
- 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: Akpınar Triple: [Kırşehir Province, hasSettlement, Akpınar]
Generated description
Akpınar is a town and district located within Turkey's Kırşehir Province in Central Anatolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akpınar Target entity description: Akpınar is a town and district located within Turkey's Kırşehir Province in Central Anatolia.
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Gökalp
Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
-
C.
Karapürçek
Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
D.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
E.
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.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1d57dfa88190a4cd9b6fceddbc3b |
completed | May 7, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1e267dcc819087a24cbfea2736db |
completed | May 7, 2026, 11:20 p.m. |
Created at: April 10, 2026, 1:01 a.m.