Triple
T3502720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1940 NFL Championship Game 73–0 win over Washington Redskins |
E74004
|
entity |
| Predicate | pointsScoredByWinningTeam |
P26207
|
FINISHED |
| Object | 73 |
—
|
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: 73 | Statement: [1940 NFL Championship Game 73–0 win over Washington Redskins, pointsScoredByWinningTeam, 73]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsScoredByWinningTeam Context triple: [1940 NFL Championship Game 73–0 win over Washington Redskins, pointsScoredByWinningTeam, 73]
-
A.
winningTeamScore
chosen
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
B.
team1Score
Indicates the number of points or goals achieved by the first team in a game or competition.
-
C.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
D.
team2Score
Indicates the number of points or goals scored by the second team in a game or competition.
-
E.
JetsScore
Indicates that the team named Jets scores a certain number of points in a game or event.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbef47988190b5b3fe2e452b9ac8 |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.