Triple
T25024433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 MLB All-Star Game |
E626668
|
entity |
| Predicate | errorsAmericanLeague |
P69665
|
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: [1967 MLB All-Star Game, errorsAmericanLeague, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorsAmericanLeague Context triple: [1967 MLB All-Star Game, errorsAmericanLeague, 0]
-
A.
AmericanLeagueErrors
chosen
Indicates the number of fielding errors committed by a team or player in American League games.
-
B.
hasAmericanLeagueVersion
Indicates that something has a corresponding or equivalent version specifically associated with the American League.
-
C.
finalScoreAmericanLeague
Indicates the final score achieved by a team or game outcome within the American League.
-
D.
runScoredByAmericanLeague
Indicates that a particular run in a game was scored by a team from the American League.
-
E.
americanLeagueFinish
Indicates the final standing or rank a team achieved in the American League for a given season or competition.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:07 a.m.