Triple
T5901097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States 3x3 women’s national basketball team |
E131226
|
entity |
| Predicate | rosterSizePerGame |
P63760
|
FINISHED |
| Object | 4 players |
—
|
LITERAL FINISHED |
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: 4 players | Statement: [United States 3x3 women’s national basketball team, rosterSizePerGame, 4 players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rosterSizePerGame Context triple: [United States 3x3 women’s national basketball team, rosterSizePerGame, 4 players]
-
A.
rosterSize
Indicates the total number of individuals included on a given roster.
-
B.
rosterSizeRegularSeason
Indicates the number of players a team is allowed or has on its roster during the regular season.
-
C.
teamRosterLimit
Indicates the maximum number of members that are allowed to be on a team’s roster.
-
D.
sportNumberOfPlayersOnTeam
Indicates the number of players that make up a single team in a given sport.
-
E.
playersPerMatch
chosen
Indicates the number of players that participate in a single match.
- F. None of above.
Provenance (3 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.