Triple
T5013318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec Bulldogs |
E112678
|
entity |
| Predicate | wonChampionshipAsNHAChampion |
P12322
|
FINISHED |
| Object | 1912 |
—
|
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: 1912 | Statement: [Quebec Bulldogs, wonChampionshipAsNHAChampion, 1912]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonChampionshipAsNHAChampion Context triple: [Quebec Bulldogs, wonChampionshipAsNHAChampion, 1912]
-
A.
wonChampionshipAsPlayerWith
Indicates that one entity won a championship while playing on a team or alongside the other entity.
-
B.
wonABAChampionshipWith
Indicates that an entity secured an ABA championship title while being a member of, or associated with, a specified team or organization.
-
C.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
D.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
numberOfNHLWins
Indicates the total count of games a team or individual has won in the National Hockey League.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7310c5b08190a5c9ab0f9fe9569f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.