Triple
T37980136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball at the 2016 Summer Olympics |
E947528
|
entity |
| Predicate | numberOfWomenTeams |
—
|
GENERATED |
| Object | 12 |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWomenTeams Context triple: [Basketball at the 2016 Summer Olympics, numberOfWomenTeams, 12]
-
A.
womenTeamsCount
chosen
Indicates the number of teams composed of women associated with a given entity or context.
-
B.
hasWomenTeamInLeague
Indicates that an entity has a women’s team that participates in a specified league.
-
C.
featuresWomenTeams
Indicates that the subject includes, presents, or involves teams composed of women.
-
D.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
E.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
- F. None of above.
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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.