Triple
T33267432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des chiffres et des lettres |
E851688
|
entity |
| Predicate | typicalContestantCount |
—
|
GENERATED |
| Object | 2 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContestantCount Context triple: [Des chiffres et des lettres, typicalContestantCount, 2]
-
A.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
typicalNumberOfDancers
Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
-
C.
typicalNumberOfAthletes
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
D.
typicalPerformerCount
Indicates the usual or standard number of performers involved in carrying out the associated activity or event.
-
E.
featuresContestants
Indicates that something (such as an event, show, or competition) includes or presents certain individuals as contestants.
- F. None of above. chosen
Provenance (1 batch)
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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.