Triple
T36482323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior All Whites |
E898847
|
entity |
| Predicate | FIFA_U20_WorldCupAppearances |
P75561
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Junior All Whites, FIFA_U20_WorldCupAppearances, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFA_U20_WorldCupAppearances Context triple: [Junior All Whites, FIFA_U20_WorldCupAppearances, 6]
-
A.
fifaU20WorldCupAppearances
chosen
Indicates the number of times an entity has participated in the FIFA U-20 World Cup tournament.
-
B.
fifaU20WWCappearances
Indicates the number of times an entity has appeared in FIFA U-20 Women's World Cup matches.
-
C.
fifaU20WWCquarterFinalsAppearances
Indicates the number of times an entity has reached the quarter-final stage of the FIFA U-20 Women's World Cup.
-
D.
fifaU20WorldCupQuarterFinalAppearances
Indicates the number of times an entity has reached the quarter-final stage of the FIFA U-20 World Cup tournament.
-
E.
fifaU20WorldCupTitles
Indicates the number of FIFA U-20 World Cup championship titles an entity has won.
- F. None of above.
Provenance (3 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.