Triple
T3561475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan national baseball team |
E75347
|
entity |
| Predicate | AsianChampionshipTitles |
P50371
|
FINISHED |
| Object | more than 15 |
—
|
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: more than 15 | Statement: [Japan national baseball team, AsianChampionshipTitles, more than 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AsianChampionshipTitles Context triple: [Japan national baseball team, AsianChampionshipTitles, more than 15]
-
A.
afconTitles
Indicates the number of Africa Cup of Nations (AFCON) championship titles an entity has won.
-
B.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
C.
afconTitleYear
Indicates the specific year in which a given Africa Cup of Nations (AFCON) title was won.
-
D.
championshipRecognition
Indicates formal acknowledgment that an entity has won or holds a championship title in a given competition or domain.
-
E.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08ac1b0819082021ecdd0061dc3 |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:21 p.m.