Triple
T20973955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel da Costa |
E516574
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Sivasspor |
—
|
NE NERFINISHED |
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: Sivasspor | Statement: [Manuel da Costa, playedFor, Sivasspor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivasspor Context triple: [Manuel da Costa, playedFor, Sivasspor]
-
A.
Sivasspor
chosen
Sivasspor is a professional Turkish football club based in Sivas that competes in the country's top leagues and has featured notable international players.
-
B.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
C.
Tuzlaspor
Tuzlaspor is a Turkish professional football club based in the Tuzla district of Istanbul that competes in the country's league system.
-
D.
Giresunspor
Giresunspor is a Turkish professional football club based in the city of Giresun that competes in the national league system.
-
E.
Manisaspor
Manisaspor is a Turkish professional football club based in the city of Manisa, known for competing in the national league system and developing local talent.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba2406c8190bd75dec585c14bfa |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:45 p.m.