Triple
T12770535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karşıyaka S.K. |
E305236
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Karşıyaka |
E304452
|
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 | Statement: [Karşıyaka S.K., location, Karşıyaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karşıyaka Context triple: [Karşıyaka S.K., location, Karşıyaka]
-
A.
Karşıyaka
chosen
Karşıyaka is a populous coastal district of İzmir, Turkey, known for its vibrant urban life, historic neighborhoods, and strong local sports culture.
-
B.
Karşıyaka S.K.
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.
-
C.
Samsunspor
Samsunspor is a professional Turkish sports club best known for its football team, based in the city of Samsun and competing in the national league system.
-
D.
Göztepe
Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
-
E.
Giresunspor
Giresunspor is a Turkish professional football club based in the city of Giresun that competes in the national league system.
- 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_69f6cbb735e481909f120f95fa68f4f1 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:28 p.m.