Triple
T1775490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XVIII |
E38966
|
entity |
| Predicate | RaidersFranchiseSuperBowlTitlesAfterGame |
P30073
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Super Bowl XVIII, RaidersFranchiseSuperBowlTitlesAfterGame, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RaidersFranchiseSuperBowlTitlesAfterGame Context triple: [Super Bowl XVIII, RaidersFranchiseSuperBowlTitlesAfterGame, 3]
-
A.
RaidersFranchiseSuperBowlTitleNumber
chosen
Indicates the specific Super Bowl championship number that the Raiders franchise won.
-
B.
team2SuperBowlTitles
Indicates the number of Super Bowl championships won by the second team in a given context.
-
C.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team has won.
-
D.
hasWonSuperBowlViaTeam
Indicates that an individual has won a Super Bowl specifically as a member of the specified team.
-
E.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.