Triple
T14251710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aksaray Province |
E353283
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Gülağaç
Gülağaç is a small town and administrative district in central Turkey known for its rural character within the Central Anatolia region.
|
E1100151
|
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: Gülağaç | Statement: [Aksaray Province, hasDistrict, Gülağaç]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gülağaç Context triple: [Aksaray Province, hasDistrict, Gülağaç]
-
A.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
B.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
-
C.
Gülveren
Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
D.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
E.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
- 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: Gülağaç Triple: [Aksaray Province, hasDistrict, Gülağaç]
Generated description
Gülağaç is a small town and administrative district in central Turkey known for its rural character within the Central Anatolia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gülağaç Target entity description: Gülağaç is a small town and administrative district in central Turkey known for its rural character within the Central Anatolia region.
-
A.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
B.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
-
C.
Gülveren
Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
D.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
E.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd647b37a8819095fe0bb62e0373fb |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd6539793881909d1fd3985c171837 |
completed | May 8, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd65c06fc88190a7d2a84d7858b20f |
completed | May 8, 2026, 4:25 a.m. |
Created at: April 10, 2026, 1:08 a.m.