Triple
T359551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresno Grizzlies |
E7817
|
entity |
| Predicate | wonTripleALeagueChampionship |
P12323
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Fresno Grizzlies, wonTripleALeagueChampionship, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonTripleALeagueChampionship Context triple: [Fresno Grizzlies, wonTripleALeagueChampionship, 2015]
-
A.
AmericanLeagueChampion
Indicates that the subject is the team that won the championship of Major League Baseball's American League for a given season.
-
B.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
C.
wonWorldSeriesAgainst
Indicates that one team became the World Series champion by defeating another specific team in the championship series.
-
D.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
E.
tripleCrownYear
Indicates the year in which an entity achieved a Triple Crown title or completed a Triple Crown accomplishment.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb248608190b060553219616043 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2c44408190946267525c88e811 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.