Triple
T3070327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama DeNA BayStars |
E64003
|
entity |
| Predicate | JapanSeriesChampionship |
P44254
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Yokohama DeNA BayStars, JapanSeriesChampionship, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanSeriesChampionship Context triple: [Yokohama DeNA BayStars, JapanSeriesChampionship, 1960]
-
A.
JapanSeriesTitle
Indicates that the given title is the name used for a series in Japan.
-
B.
JapanSeriesTitles
Indicates that the subject is a title belonging to a series originating from or specifically released in Japan.
-
C.
playsJapanSeriesAgainst
Indicates that one entity participates in a Japan Series baseball matchup as an opponent against another entity.
-
D.
JapanSeriesTitleYear
Indicates that a series has a specific official title used in Japan in a given year.
-
E.
JapanSeriesTitleCount
Indicates the number of series titles associated with or released in Japan.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.