Triple
T23506762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national under-20 football team |
E572301
|
entity |
| Predicate | fifaU20WorldCupFirstParticipation |
P152637
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Argentina national under-20 football team, fifaU20WorldCupFirstParticipation, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaU20WorldCupFirstParticipation Context triple: [Argentina national under-20 football team, fifaU20WorldCupFirstParticipation, 1979]
-
A.
fifaU20WorldCupTitleYear
Indicates the year in which an entity won the FIFA U-20 World Cup title.
-
B.
fifaU17WorldCupDebutYear
Indicates the year in which an entity (typically a national team) first participated in the FIFA U-17 World Cup tournament.
-
C.
fifaU20WorldCupBestResultYear
Indicates the year in which an entity achieved its best result in the FIFA U-20 World Cup.
-
D.
fifaU20WWCappearances
Indicates the number of times an entity has appeared in FIFA U-20 Women's World Cup matches.
-
E.
fifaU20WorldCupAppearances
Indicates the number of times an entity has participated in the FIFA U-20 World 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a9009ca081908c4cffb8c32293ec |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:07 p.m.