Triple
T6360510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993–94 NHL season |
E143095
|
entity |
| Predicate | PresidentsTrophyPoints |
P70192
|
FINISHED |
| Object | 112 |
—
|
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: 112 | Statement: [1993–94 NHL season, PresidentsTrophyPoints, 112]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PresidentsTrophyPoints Context triple: [1993–94 NHL season, PresidentsTrophyPoints, 112]
-
A.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
B.
presidentsTrophy
Indicates that the subject has been awarded the Presidents' Trophy, recognizing the best regular-season performance in a given league or competition.
-
C.
VezinaTrophyWins
Indicates the number of times an entity has won the Vezina Trophy.
-
D.
NorrisTrophyWins
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
E.
VezinaTrophyWinner
Indicates that the subject is the player who won the NHL’s Vezina Trophy for best goaltender in a given season.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.