Triple
T36482325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior All Whites |
E898847
|
entity |
| Predicate | bestFIFA_U20_WorldCupResultYear |
P150541
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Junior All Whites, bestFIFA_U20_WorldCupResultYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFIFA_U20_WorldCupResultYear Context triple: [Junior All Whites, bestFIFA_U20_WorldCupResultYear, 2015]
-
A.
bestResultFIFA U-20 World CupYear
Indicates the best performance or final standing an entity achieved in a given year’s FIFA U-20 World Cup.
-
B.
bestResultFIFA U-20 World Cup
Indicates the highest placement or achievement an entity has attained in any edition of the FIFA U-20 World Cup.
-
C.
bestResultFifaU17WWCYear
Indicates the year in which an entity achieved its best performance or result at the FIFA U-17 Women's World Cup.
-
D.
fifaU20WorldCupBestResultYear
chosen
Indicates the year in which an entity achieved its best result in the FIFA U-20 World Cup.
-
E.
fifaU20WorldCupTitleYear
Indicates the year in which an entity won the FIFA U-20 World Cup title.
- 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.