Triple
T3502721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1940 NFL Championship Game 73–0 win over Washington Redskins |
E74004
|
entity |
| Predicate | pointsScoredByLosingTeam |
P48567
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [1940 NFL Championship Game 73–0 win over Washington Redskins, pointsScoredByLosingTeam, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsScoredByLosingTeam Context triple: [1940 NFL Championship Game 73–0 win over Washington Redskins, pointsScoredByLosingTeam, 0]
-
A.
game4LosingTeam
Indicates that the referenced team is the one that lost in the specified game or match.
-
B.
game2LosingTeam
Indicates that the referenced entity is the team that lost in the second game of a series or match.
-
C.
game1LosingTeam
Indicates the team that lost in the first game of a series or event.
-
D.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
E.
game7LosingTeam
Indicates the team that lost in the seventh game of a playoff or series.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69adaef1037c819082c7af949ec85360 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:18 p.m.