Triple
T31963272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvan Zurbriggen |
E816103
|
entity |
| Predicate | worldCupDebutCountry |
P98945
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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: Canada | Statement: [Silvan Zurbriggen, worldCupDebutCountry, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupDebutCountry Context triple: [Silvan Zurbriggen, worldCupDebutCountry, Canada]
-
A.
WorldCupDebutYear
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
B.
worldCupDebutLocation
chosen
Indicates the location where an entity made its first appearance in a World Cup tournament.
-
C.
isFirstWorldCupTitleForCountry
Indicates that the referenced World Cup title is the first ever won by the specified country.
-
D.
nationalTeamDebutCountry
Indicates the country for which an individual first made an official appearance on a national team.
-
E.
playedInWorldCupFor
Indicates that an individual participated as a player in at least one FIFA World Cup tournament representing a specified national team.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 1, 2026, 12:09 a.m.