Triple
T30955638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | オリックス・ブルーウェーブ |
E788668
|
entity |
| Predicate | リーグ優勝回数 |
P170835
|
FINISHED |
| Object | 4回 |
—
|
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: 4回 | Statement: [オリックス・ブルーウェーブ, リーグ優勝回数, 4回]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: リーグ優勝回数 Context triple: [オリックス・ブルーウェーブ, リーグ優勝回数, 4回]
-
A.
NationalLeagueWinner
Indicates that an entity is the team that won the championship title of the National League in a given season or year.
-
B.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
C.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
D.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
E.
seasonsWithMostWinsInAL
Indicates the seasons in which a team achieved its highest number of wins specifically in the American League.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:54 p.m.