Triple
T18160925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winfried Schäfer |
E434757
|
entity |
| Predicate | coachOf |
P2169
|
FINISHED |
| Object | Baku FK |
—
|
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: Baku FK | Statement: [Winfried Schäfer, coachOf, Baku FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baku FK Context triple: [Winfried Schäfer, coachOf, Baku FK]
-
A.
Gabala FK
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
-
B.
Sabail FK
chosen
Sabail FK is a professional football club based in Baku, Azerbaijan, competing in the Azerbaijan Premier League.
-
C.
FC Dila Gori
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
-
D.
FC Atyrau
FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
-
E.
Neftchi Fergana
Neftchi Fergana is a professional football club from Fergana, Uzbekistan, known as one of the country’s traditional powers and a historic rival of Pakhtakor Tashkent.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec21e6081909070491f679c873c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.