Triple
T3270713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLV |
E68639
|
entity |
| Predicate | GreenBayPackersSuperBowlTitlesTotalAfterGame |
P36387
|
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: [Super Bowl XLV, GreenBayPackersSuperBowlTitlesTotalAfterGame, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreenBayPackersSuperBowlTitlesTotalAfterGame Context triple: [Super Bowl XLV, GreenBayPackersSuperBowlTitlesTotalAfterGame, 4]
-
A.
homeSuperBowlWin
Indicates that a team won the Super Bowl while playing in its home stadium or home city.
-
B.
winningTeamSuperBowlTitlesAfterGame
chosen
Indicates the number of Super Bowl titles a team has won after a specific game has been played.
-
C.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team has won.
-
D.
superBowlWin
Indicates that a team has won a Super Bowl championship game.
-
E.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.