Triple
T276243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orix Buffaloes |
E5254
|
entity |
| Predicate | JapanSeriesTitles |
P8426
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Orix Buffaloes, JapanSeriesTitles, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanSeriesTitles Context triple: [Orix Buffaloes, JapanSeriesTitles, multiple]
-
A.
JapanSeriesTitle
Indicates that the given title is the name used for a series in Japan.
-
B.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
C.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
D.
baseballNationalChampionship
Indicates that an entity has won or is recognized as the national championship title holder in the sport of baseball.
-
E.
AmericanLeagueChampion
Indicates that the subject is the team that won the championship of Major League Baseball's American League for a given season.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2d94388190aeda17ddd42b4ac9 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.