Triple
T14538030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1937 Stanley Cup Finals |
E341099
|
entity |
| Predicate | championshipNumberForTeam |
P114843
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1937 Stanley Cup Finals, championshipNumberForTeam, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipNumberForTeam Context triple: [1937 Stanley Cup Finals, championshipNumberForTeam, 2]
-
A.
championshipNumberForFranchise
Indicates the number of championships that have been won by a given franchise.
-
B.
championshipWithTeam
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
C.
finalsAppearanceForChampionFranchiseNumber
Indicates the number of times a franchise that has won a championship has appeared in the finals.
-
D.
teamChampionshipStreak
Indicates the number of consecutive championships a team has won over a continuous sequence of seasons or tournaments.
-
E.
stateOfChampionTeam
Indicates that a given entity is the geographic or political state associated with a particular champion team.
- 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_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. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:22 a.m.