Triple
T3144076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada men's national junior ice hockey team |
E65721
|
entity |
| Predicate | typicalRosterSize |
P15427
|
FINISHED |
| Object | approximately 22 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: approximately 22 players | Statement: [Canada men's national junior ice hockey team, typicalRosterSize, approximately 22 players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRosterSize Context triple: [Canada men's national junior ice hockey team, typicalRosterSize, approximately 22 players]
-
A.
rosterSize
chosen
Indicates the total number of individuals included on a given roster.
-
B.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
C.
rosterSizeRegularSeason
Indicates the number of players a team is allowed or has on its roster during the regular season.
-
D.
staffSize
Indicates the number of staff members associated with an entity.
-
E.
sportNumberOfPlayersOnTeam
Indicates the number of players that make up a single team in a given sport.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada595d4548190b720a6131817833b |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.