Triple
T32463186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenkie de Jong |
E829630
|
entity |
| Predicate | hasPlayedForNationalYouthTeam |
P8948
|
FINISHED |
| Object | Netherlands U15 |
—
|
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: Netherlands U15 | Statement: [Frenkie de Jong, hasPlayedForNationalYouthTeam, Netherlands U15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedForNationalYouthTeam Context triple: [Frenkie de Jong, hasPlayedForNationalYouthTeam, Netherlands U15]
-
A.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
B.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
C.
eligibleForNationalTeamThrough
Indicates that an individual qualifies to represent a national team by means of a specified eligibility basis (such as ancestry, residency, or citizenship).
-
D.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
E.
usedByNationalTeamSince
Indicates that something has been utilized or employed by a national team starting from a specific point in time.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 12:57 a.m.