Triple
T3053968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nwankwo Kanu |
E60435
|
entity |
| Predicate | wonTournamentWithClub |
P20666
|
FINISHED |
| Object | UEFA Champions League with Ajax |
—
|
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: UEFA Champions League with Ajax | Statement: [Nwankwo Kanu, wonTournamentWithClub, UEFA Champions League with Ajax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonTournamentWithClub Context triple: [Nwankwo Kanu, wonTournamentWithClub, UEFA Champions League with Ajax]
-
A.
wonTournament
Indicates that an entity emerged as the overall victor in a tournament competition.
-
B.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
C.
winnerPlaysIn
Indicates that the entity identified as the winner of a contest or match participates in a subsequent game, round, or event.
-
D.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
E.
winsWithTeam
chosen
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf51b5081908ce355a76cfa9e3c |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.