Triple
T17202466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkan Şen |
E417510
|
entity |
| Predicate | hasPlayedFor |
P2170
|
FINISHED |
| Object | Adana Demirspor |
E601026
|
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: Adana Demirspor | Statement: [Volkan Şen, hasPlayedFor, Adana Demirspor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adana Demirspor Context triple: [Volkan Şen, hasPlayedFor, Adana Demirspor]
-
A.
Adana Demirspor
chosen
Adana Demirspor is a Turkish professional football club based in Adana that competes in the country’s top leagues and has a passionate local fan base.
-
B.
Adanaspor
Adanaspor is a professional Turkish football club based in Adana that competes in the country’s league system and has featured various international players.
-
C.
Akınspor
Akınspor was a Turkish football club that became one of the predecessor teams merged to form Eskişehirspor.
-
D.
Denizlispor
Denizlispor is a professional Turkish football club based in the city of Denizli that competes in the national league system.
-
E.
Kayseri Erciyesspor
Kayseri Erciyesspor is a Turkish professional football club based in Kayseri that has competed in the country’s top leagues under various names throughout its history.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01793aec4c81908e64226986866389 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:38 a.m.