Triple
T3904312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greatest Show on Turf offense |
E90567
|
entity |
| Predicate | SuperBowlFinalScore |
P36654
|
FINISHED |
| Object | 23–16 |
—
|
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: 23–16 | Statement: [Greatest Show on Turf offense, SuperBowlFinalScore, 23–16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SuperBowlFinalScore Context triple: [Greatest Show on Turf offense, SuperBowlFinalScore, 23–16]
-
A.
SuperBowlScore
chosen
Indicates the final point totals achieved by the competing teams in a specific Super Bowl game.
-
B.
SuperBowlNumber
Indicates the specific numbered edition of the Super Bowl associated with an event, team, or record.
-
C.
SuperBowlXXXResult
Indicates the outcome or final result of the game played in Super Bowl XXX between the participating teams.
-
D.
SuperBowlLVIResult
Indicates the outcome of Super Bowl LVI, specifying which team won, which team lost, and possibly the final score or key result details.
-
E.
SuperBowlXLIVScore
Indicates the scoring outcome or final point totals associated with Super Bowl XLIV between the participating teams.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.