Triple
T927950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yomiuri Giants |
E20026
|
entity |
| Predicate | leagueChampionships |
P21482
|
FINISHED |
| Object | most in Nippon Professional Baseball |
—
|
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: most in Nippon Professional Baseball | Statement: [Yomiuri Giants, leagueChampionships, most in Nippon Professional Baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueChampionships Context triple: [Yomiuri Giants, leagueChampionships, most in Nippon Professional Baseball]
-
A.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
B.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
C.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
D.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
E.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32de3cc81908a0ef885795677ff |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b29876348190a29f4ff9878074a5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.