Triple
T30914466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denzel Dumfries |
E787539
|
entity |
| Predicate | hasParticipatedInCompetition |
P72801
|
FINISHED |
| Object | UEFA Champions League |
—
|
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: UEFA Champions League | Statement: [Denzel Dumfries, hasParticipatedInCompetition, UEFA Champions League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticipatedInCompetition Context triple: [Denzel Dumfries, hasParticipatedInCompetition, UEFA Champions League]
-
A.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
-
B.
hasCompetitionHistory
chosen
Indicates that an entity has a recorded history of participation in competitions or competitive events.
-
C.
hasWonCompetition
Indicates that an entity has achieved victory in a competition or contest against others.
-
D.
competedAs
Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
-
E.
regionCompetedIn
Indicates the geographic region or area where an entity participated in a competition or contest.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 29, 2026, 8:51 p.m.