Triple
T6912492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Stanley Cup Finals |
E159969
|
entity |
| Predicate | PenguinsStanleyCupNumber |
P74100
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2016 Stanley Cup Finals, PenguinsStanleyCupNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PenguinsStanleyCupNumber Context triple: [2016 Stanley Cup Finals, PenguinsStanleyCupNumber, 4]
-
A.
stanleyCupWinYear
Indicates the specific year in which a given team won the Stanley Cup.
-
B.
mostStanleyCupsInNHL
Indicates having won the greatest number of Stanley Cup championships in the history of the NHL compared to all other entities.
-
C.
StanleyCupWinnerWith
Indicates that one entity is the winner of the Stanley Cup in association with, or while being a member of, the other entity (typically a team or organization).
-
D.
hasWonStanleyCup
Indicates that the subject (typically a team or player) has won at least one National Hockey League Stanley Cup championship.
-
E.
stanleyCupChampionWith
Indicates that one entity is the team or individual who won the Stanley Cup in association with the specified season, year, or context.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c2e79881909eeb061be0a72bdf |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:25 p.m.