Triple
T13343336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazım Karabekir |
E317881
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Karabekir
Karabekir is a Turkish surname most prominently associated with Kazım Karabekir, a leading military commander and statesman in the early years of the Republic of Turkey.
|
E1035563
|
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: Karabekir | Statement: [Kazım Karabekir, familyName, Karabekir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karabekir Context triple: [Kazım Karabekir, familyName, Karabekir]
-
A.
Mardin Ridge
Mardin Ridge is a prominent elevated landform in southeastern Turkey that overlooks and shapes the historic city of Mardin and its surroundings.
-
B.
Akçadağ
Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
-
C.
Hasan Dağı
Hasan Dağı is a prominent stratovolcano in central Turkey, notable for its twin-peaked summit and its dominance of the surrounding Cappadocian landscape.
-
D.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
E.
Bozdağ
Bozdağ is a Turkish surname most notably associated with Bekir Bozdağ, a prominent Turkish politician and former government minister.
- 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: Karabekir Triple: [Kazım Karabekir, familyName, Karabekir]
Generated description
Karabekir is a Turkish surname most prominently associated with Kazım Karabekir, a leading military commander and statesman in the early years of the Republic of Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karabekir Target entity description: Karabekir is a Turkish surname most prominently associated with Kazım Karabekir, a leading military commander and statesman in the early years of the Republic of Turkey.
-
A.
Mardin Ridge
Mardin Ridge is a prominent elevated landform in southeastern Turkey that overlooks and shapes the historic city of Mardin and its surroundings.
-
B.
Akçadağ
Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
-
C.
Hasan Dağı
Hasan Dağı is a prominent stratovolcano in central Turkey, notable for its twin-peaked summit and its dominance of the surrounding Cappadocian landscape.
-
D.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
E.
Bozdağ
Bozdağ is a Turkish surname most notably associated with Bekir Bozdağ, a prominent Turkish politician and former government minister.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221887208190ac98945a023bc496 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.