Triple
T13503360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1957 NFL Championship Game |
E320946
|
entity |
| Predicate | visitingTeamPointsByHalftime |
P25689
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [1957 NFL Championship Game, visitingTeamPointsByHalftime, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitingTeamPointsByHalftime Context triple: [1957 NFL Championship Game, visitingTeamPointsByHalftime, 7]
-
A.
halftimeScore
Indicates the score or result of a game or match at the halfway point (halftime).
-
B.
awayTeamGoalsFirstHalf
chosen
Indicates the number of goals scored by the away team during the first half of a match.
-
C.
homeTeamGoalsFirstHalf
Indicates the number of goals scored by the home team during the first half of a match.
-
D.
opponentPointsAfterThreeQuarters
Indicates the number of points the opposing team has scored by the end of the third quarter of a game.
-
E.
homeTeamGoalsSecondHalf
Indicates the number of goals scored by the home team during the second half of a match.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.