Triple
T27742950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China national under-17 football team |
E701901
|
entity |
| Predicate | bestResultAFCU17AsianCupYear |
P165098
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [China national under-17 football team, bestResultAFCU17AsianCupYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestResultAFCU17AsianCupYear Context triple: [China national under-17 football team, bestResultAFCU17AsianCupYear, 2004]
-
A.
bestResultAFCU17AsianCup
Indicates the highest achievement or final standing a team has attained in the AFC U-17 Asian Cup tournament.
-
B.
bestResultAFCAsianCup
Indicates the most successful performance or highest achievement an entity has attained in the AFC Asian Cup competition.
-
C.
bestResultInAFCU20AsianCup
Indicates the best performance or highest achievement a team has attained in the AFC U-20 Asian Cup tournament.
-
D.
bestResultFifaU17WWCYear
Indicates the year in which an entity achieved its best performance or result at the FIFA U-17 Women's World Cup.
-
E.
afcU17AsianCupTitleYear
Indicates the year in which an entity won the AFC U-17 Asian Cup title.
- 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_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 4:13 p.m.