Triple
T423251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl LIII |
E8149
|
entity |
| Predicate | PatriotsSuperBowlTitlesAfterGame |
P2641
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Super Bowl LIII, PatriotsSuperBowlTitlesAfterGame, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PatriotsSuperBowlTitlesAfterGame Context triple: [Super Bowl LIII, PatriotsSuperBowlTitlesAfterGame, 6]
-
A.
PatriotsSuperBowlTitleNumber
chosen
Indicates the ordinal number of a Super Bowl championship title won by the New England Patriots.
-
B.
patriotsCoachSuperBowlTitlesWithWin
Indicates the number of Super Bowl titles a given coach has won while coaching the New England Patriots.
-
C.
patriotsQBBradySuperBowlTitlesWithWin
Indicates that Tom Brady, as quarterback of the New England Patriots, has a specified number of Super Bowl titles in which he recorded a win.
-
D.
PatriotsPreviousSuperBowlWin
Indicates that the referenced Super Bowl is the most recent one the New England Patriots won prior to a given Super Bowl or point in time.
-
E.
team2SuperBowlTitles
Indicates the number of Super Bowl championships won by the second team in a given context.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.