Triple
T605847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl LII |
E11592
|
entity |
| Predicate | finalScoreWinner |
P17016
|
FINISHED |
| Object | 41 |
—
|
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: 41 | Statement: [Super Bowl LII, finalScoreWinner, 41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalScoreWinner Context triple: [Super Bowl LII, finalScoreWinner, 41]
-
A.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
mainWinner
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
-
C.
firstWinnerFinals
Indicates that the subject entity is the winner of the first finals event or match in a given competition or series.
-
D.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
E.
positionOfWinner
Indicates the relationship that identifies which entity holds the winning position or rank in a competition or contest.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.