Triple
T1150989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Club World Cup Trophy |
E23675
|
entity |
| Predicate | awardingEventType |
P2207
|
FINISHED |
| Object | final match of the FIFA Club World Cup |
—
|
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: final match of the FIFA Club World Cup | Statement: [FIFA Club World Cup Trophy, awardingEventType, final match of the FIFA Club World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingEventType Context triple: [FIFA Club World Cup Trophy, awardingEventType, final match of the FIFA Club World Cup]
-
A.
awardEvent
Indicates an event in which an award is formally given or presented to a recipient.
-
B.
awardCeremonyOccasion
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
C.
awardedDuring
chosen
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.