Triple
T31572312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1930 Major League Baseball season |
E805597
|
entity |
| Predicate | battingAverageLeaderALAverage |
P14861
|
FINISHED |
| Object | .381 |
—
|
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: .381 | Statement: [1930 Major League Baseball season, battingAverageLeaderALAverage, .381]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingAverageLeaderALAverage Context triple: [1930 Major League Baseball season, battingAverageLeaderALAverage, .381]
-
A.
battingChampionAmericanLeague
Indicates that the subject was the batting champion (had the highest batting average) in the American League for a given season.
-
B.
battingAverage
chosen
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
C.
odiBattingAverage
Indicates the batting average a player has achieved in One Day International (ODI) cricket matches.
-
D.
battingAverageCategory
Indicates the classification of an entity’s batting average into a defined performance category (e.g., low, medium, high).
-
E.
careerBattingAverage
Indicates the long-term batting performance of a player, calculated as their total hits divided by total at-bats over their entire career.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:20 p.m.