Triple
T5291168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vålerenga Fotball Damer |
E119743
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | women's football team |
C18327
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: women's football team Context triple: [Vålerenga Fotball Damer, instanceOf, women's football team]
-
A.
women's basketball team
A women's basketball team is an organized group of female athletes who train and compete together in the sport of basketball under a shared identity, such as a school, club, or professional organization.
-
B.
women’s volleyball team
A women’s volleyball team is a coordinated group of female athletes who train and compete together in the sport of volleyball, executing specialized roles and strategies to achieve collective success.
-
C.
women’s ice hockey team
A women’s ice hockey team is an organized group of female players who train and compete together in the sport of ice hockey under a shared identity, such as a school, club, or national program.
-
D.
women’s lacrosse team
A women’s lacrosse team is an organized group of female athletes who train and compete together in the sport of lacrosse, following specific rules, strategies, and positions to achieve collective success.
-
E.
college women’s soccer team
A college women’s soccer team is a group of female student-athletes who represent their college or university in organized intercollegiate soccer competition while balancing academic responsibilities.
- F. None of above. chosen
Provenance (1 batch)
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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
Created at: March 20, 2026, 1:52 p.m.