Triple
T8197101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bülent Korkmaz |
E191459
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object |
Konyaspor
Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
|
E752623
|
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: Konyaspor | Statement: [Bülent Korkmaz, managedTeam, Konyaspor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konyaspor Context triple: [Bülent Korkmaz, managedTeam, Konyaspor]
-
A.
Kayserispor
Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
-
B.
Kocaelispor
Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
-
C.
Alanyaspor
Alanyaspor is a professional Turkish football club based in Alanya that competes in the country’s top leagues and is known for its regional rivalry with Antalyaspor.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Antalyaspor
Antalyaspor is a professional Turkish football club based in Antalya that competes in the country’s top-tier league, the Süper Lig.
- 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: Konyaspor Triple: [Bülent Korkmaz, managedTeam, Konyaspor]
Generated description
Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konyaspor Target entity description: Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
-
A.
Kayserispor
Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
-
B.
Kocaelispor
Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
-
C.
Alanyaspor
Alanyaspor is a professional Turkish football club based in Alanya that competes in the country’s top leagues and is known for its regional rivalry with Antalyaspor.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Antalyaspor
Antalyaspor is a professional Turkish football club based in Antalya that competes in the country’s top-tier league, the Süper Lig.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c2341f881908be59c378896e5bc |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf27abf324819098bd6ecfd5a4d8cc |
completed | April 3, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69cf2a6a91d48190aa7d45b0a010f261 |
completed | April 3, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c0aace08190aca839c39e718c52 |
completed | April 3, 2026, 2:55 a.m. |
Created at: March 30, 2026, 5:42 p.m.