Triple
T27742867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan national under-17 football team |
E701899
|
entity |
| Predicate | afcU17AsianCupTitles |
P163193
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Japan national under-17 football team, afcU17AsianCupTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcU17AsianCupTitles Context triple: [Japan national under-17 football team, afcU17AsianCupTitles, 3]
-
A.
afcU20AsianCupTitles
Indicates the number of AFC U-20 Asian Cup championship titles won by an entity.
-
B.
afcU20AsianCupMostRecentTitleYear
Indicates the year in which an entity most recently won the AFC U-20 Asian Cup title.
-
C.
afcU23AsianCupTitles
Indicates the number of AFC U-23 Asian Cup championship titles won by an entity.
-
D.
afcU20AsianCupFirstTitleYear
Indicates the year in which a team won its first AFC U-20 Asian Cup title.
-
E.
afcU23AsianCupBestResultYear
Indicates the year in which an entity achieved its best performance in the AFC U-23 Asian Cup tournament.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63717b8c48190abd8ebcc54c76c46 |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:13 p.m.