Triple
T12690791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Büyük Altay |
E303197
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Altay S.K. |
E62991
|
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: Altay S.K. | Statement: [Büyük Altay, refersTo, Altay S.K.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altay S.K. Context triple: [Büyük Altay, refersTo, Altay S.K.]
-
A.
Altay S.K.
chosen
Altay S.K. is a historic Turkish professional football club based in İzmir, known as one of the country's oldest and most traditional teams.
-
B.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
C.
Boluspor
Boluspor is a Turkish professional football club based in the city of Bolu that competes in the country’s football league system.
-
D.
Gaziantep FK
Gaziantep FK is a professional Turkish football club based in the city of Gaziantep that competes in the country’s top leagues.
-
E.
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.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671acbd5c8190ad8d1d2f18868369 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.