Triple
T14537979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1935–36 NHL season |
E341098
|
entity |
| Predicate | mostPointsTeamPoints |
P17024
|
FINISHED |
| Object | 51 |
—
|
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: 51 | Statement: [1935–36 NHL season, mostPointsTeamPoints, 51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostPointsTeamPoints Context triple: [1935–36 NHL season, mostPointsTeamPoints, 51]
-
A.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
B.
topScorerTeam
Indicates that a given team is the one with the highest score (or total points) in a particular game, season, or competition.
-
C.
totalPointsScored
chosen
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
D.
70PointGameTeam
Indicates that a team is associated with a game in which it scored at least 70 points.
-
E.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.