Triple
T22419951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WinSport |
E554218
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | WinSport |
—
|
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: WinSport | Statement: [WinSport, shortName, WinSport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WinSport Context triple: [WinSport, shortName, WinSport]
-
A.
WinSport
chosen
WinSport is a Canadian non-profit organization that owns and operates Olympic legacy sports facilities in Calgary, promoting winter sport development and high-performance training.
-
B.
Nova Sports
Nova Sports is a Greek pay television sports network known for broadcasting major domestic and international sporting events, including top-tier basketball and football competitions.
-
C.
One Sports
One Sports is a Philippine free-to-air sports television channel operated by TV5 Network, featuring local and international sporting events.
-
D.
Allsport
Allsport was a prominent sports photography agency known for its extensive coverage of major sporting events worldwide.
-
E.
Bestsport
Bestsport is a Czech sports and entertainment management company known for operating major venues and events, including Prague’s O2 Arena.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.