Triple
T5494980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national football team |
E144188
|
entity |
| Predicate | FIFAFutsalWorldCupTitleYear |
P65062
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Argentina national football team, FIFAFutsalWorldCupTitleYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAFutsalWorldCupTitleYear Context triple: [Argentina national football team, FIFAFutsalWorldCupTitleYear, 2016]
-
A.
fifaU20WWC_titleYear
Indicates the specific year in which a team or entity won the FIFA U-20 Women's World Cup title.
-
B.
wonFAcup
Indicates that the subject has won the FA Cup football competition.
-
C.
fifaU20WWC_titles
Indicates the number of FIFA U-20 Women's World Cup titles an entity has won.
-
D.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
-
E.
fifaU20WWC_runnersUpYear
Indicates the year in which a team finished as runners-up in the FIFA U-20 Women's World Cup.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f08c2a4819093e772a1497c7ecc |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:31 p.m.