Triple
T19802662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahramanmaraş Province |
E475723
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Afşin
Afşin is a town and district in southern Turkey known for its agricultural activities and proximity to historical and natural sites in Kahramanmaraş Province.
|
E1396086
|
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: Afşin | Statement: [Kahramanmaraş Province, hasCity, Afşin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afşin Context triple: [Kahramanmaraş Province, hasCity, Afşin]
-
A.
Tevfikiye
Tevfikiye is a village in northwestern Turkey located close to the archaeological site of Hisarlik, widely identified with ancient Troy.
-
B.
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.
-
C.
Altıntaş
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Melikgazi
Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
- 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: Afşin Triple: [Kahramanmaraş Province, hasCity, Afşin]
Generated description
Afşin is a town and district in southern Turkey known for its agricultural activities and proximity to historical and natural sites in Kahramanmaraş Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afşin Target entity description: Afşin is a town and district in southern Turkey known for its agricultural activities and proximity to historical and natural sites in Kahramanmaraş Province.
-
A.
Tevfikiye
Tevfikiye is a village in northwestern Turkey located close to the archaeological site of Hisarlik, widely identified with ancient Troy.
-
B.
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.
-
C.
Altıntaş
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
-
D.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
E.
Melikgazi
Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50a78dc8190ae3125974372785c |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c59d56c8819092cd0d6ac6265ebf |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c61cde3081909bfec0054e4cd5e9 |
completed | May 16, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:49 p.m.