Triple
T23380159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Basketball League of Canada |
E593720
|
entity |
| Predicate | hasCanadianPlayers |
P152509
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [National Basketball League of Canada, hasCanadianPlayers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanadianPlayers Context triple: [National Basketball League of Canada, hasCanadianPlayers, yes]
-
A.
containsCanadianTeam
Indicates that a group, set, or collection includes at least one team based in Canada.
-
B.
hasAllAmericanPlayers
Indicates that all players associated with an entity have been recognized as All-American.
-
C.
notablePlayerTeamCanada
Indicates that a player is notably associated with and has represented Team Canada in their sport.
-
D.
isCanadianNHLPlayer
Indicates that a person is both a professional ice hockey player in the National Hockey League and holds Canadian nationality.
-
E.
canadianTeam
Indicates that a given team is based in or officially represents Canada.
- F. None of above. chosen
Provenance (4 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b6ddfc8190a23d291286f3fe42 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:34 p.m.