Triple
T17472820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czesław Michniewicz |
E425460
|
entity |
| Predicate | teamManaged |
P3239
|
FINISHED |
| Object | Legia Warsaw |
—
|
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: Legia Warsaw | Statement: [Czesław Michniewicz, teamManaged, Legia Warsaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legia Warsaw Context triple: [Czesław Michniewicz, teamManaged, Legia Warsaw]
-
A.
Legia Warsaw
chosen
Legia Warsaw is a Polish professional football club from Warsaw, renowned as one of the country’s most successful and historically significant teams.
-
B.
Jagiellonia Białystok
Jagiellonia Białystok is a professional Polish football club based in Białystok that competes in the country’s top league, the Ekstraklasa.
-
C.
MKS Cracovia
MKS Cracovia is a historic Polish multi-sport club from Kraków, best known for its professional football team competing in the country’s top leagues.
-
D.
Lech Poznań
Lech Poznań is a prominent Polish professional football club based in Poznań, known for its passionate fan base and multiple national championships.
-
E.
RTS Widzew Łódź
RTS Widzew Łódź is a Polish professional football club from Łódź, historically one of the country’s most successful and popular teams.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b990848190b2e8510d67e94b79 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.