Triple
T3568325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXX |
E75505
|
entity |
| Predicate | DallasCowboysSuperBowlTitlesAfterGame |
P36387
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Super Bowl XXX, DallasCowboysSuperBowlTitlesAfterGame, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DallasCowboysSuperBowlTitlesAfterGame Context triple: [Super Bowl XXX, DallasCowboysSuperBowlTitlesAfterGame, 5]
-
A.
winningTeamSuperBowlTitlesAfterGame
chosen
Indicates the number of Super Bowl titles a team has won after a specific game has been played.
-
B.
superBowlTitlesWith
Indicates that one entity has won a specified number of Super Bowl titles associated with another entity (such as a team or organization).
-
C.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
D.
team2SuperBowlTitles
Indicates the number of Super Bowl championships won by the second team in a given context.
-
E.
SuperBowlTitlesWithTeam
Indicates the relationship between a team and the number of Super Bowl titles that team 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.