Triple
T12770534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karşıyaka S.K. |
E305236
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Karşıyaka SK |
E63430
|
NE FINISHED |
How this triple was built (2 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: Karşıyaka SK | Statement: [Karşıyaka S.K., shortName, Karşıyaka SK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karşıyaka SK Context triple: [Karşıyaka S.K., shortName, Karşıyaka SK]
-
A.
Karşıyaka S.K.
chosen
Karşıyaka S.K. is a historic multi-sport club from the Karşıyaka district of İzmir, best known for its football team competing in the Turkish league system.
-
B.
Karşıyaka
Karşıyaka is a populous coastal district of İzmir, Turkey, known for its vibrant urban life, historic neighborhoods, and strong local sports culture.
-
C.
Kasımpaşa SK
Kasımpaşa SK is a professional football club based in Istanbul, Turkey, that competes in the Turkish football league system.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Sarıyer S.K.
Sarıyer S.K. is a Turkish sports club best known for its football team representing the Sarıyer district of Istanbul.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0dd657c8190b69e8bf187034360 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:28 p.m.