Triple
T7882384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Islanders |
E183008
|
entity |
| Predicate | presidentTrophies |
P79546
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [New York Islanders, presidentTrophies, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentTrophies Context triple: [New York Islanders, presidentTrophies, 0]
-
A.
presidentsTrophies
Indicates that the subject has been awarded one or more Presidents' Trophies.
-
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.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
D.
PresidentsTrophyPoints
Indicates the number of points a team has earned in the standings toward winning the Presidents’ Trophy.
-
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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d36574819092d70e24c37952d7 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:58 p.m.