Triple
T3527646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XII |
E74578
|
entity |
| Predicate | seasonRecordLosingTeam |
P21379
|
FINISHED |
| Object | 12–2 |
—
|
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: 12–2 | Statement: [Super Bowl XII, seasonRecordLosingTeam, 12–2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonRecordLosingTeam Context triple: [Super Bowl XII, seasonRecordLosingTeam, 12–2]
-
A.
seasonRecordLosses
Indicates the number of games a team lost during a specific season.
-
B.
seasonRecord
chosen
Indicates the overall performance or results an entity achieved over the course of a specific season (e.g., wins, losses, or comparable outcome metrics).
-
C.
regularSeasonLosses
Indicates the number of games a team lost during the regular season portion of a competition or league.
-
D.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
E.
losingTeamRecordEnteringGame
Indicates that the team’s win-loss record prior to the game was a losing record (more losses than wins) entering that specific game.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6d099c8190b2b1e65a56e52089 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.