Triple
T15805600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kütahya Province |
E383207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Altıntaş
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
|
E1179165
|
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: Altıntaş | Statement: [Kütahya Province, contains, Altıntaş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altıntaş Context triple: [Kütahya Province, contains, Altıntaş]
-
A.
Altındağ
Altındağ is a central district of Turkey’s capital city Ankara, known for its historic quarters, cultural landmarks, and dense urban neighborhoods.
-
B.
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.
-
C.
Akpınar
Akpınar is a town and district located within Turkey's Kırşehir Province in Central Anatolia.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
- 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: Altıntaş Triple: [Kütahya Province, contains, Altıntaş]
Generated description
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altıntaş Target entity description: Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
-
A.
Altındağ
Altındağ is a central district of Turkey’s capital city Ankara, known for its historic quarters, cultural landmarks, and dense urban neighborhoods.
-
B.
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.
-
C.
Akpınar
Akpınar is a town and district located within Turkey's Kırşehir Province in Central Anatolia.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998d17648190b9f020632461965f |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9dcbb36881909c4317f9031199b8 |
completed | May 9, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9e25b2f08190b519d61be3e2f2f6 |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 10, 2026, 4:48 a.m.