Triple
T34409220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viva Top 100 |
E883207
|
entity |
| Predicate | numberOfItemsInList |
—
|
GENERATED |
| Object | 100 |
—
|
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: numberOfItemsInList Context triple: [Viva Top 100, numberOfItemsInList, 100]
-
A.
estimatedNumberOfItems
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
collectionSize
Indicates the total number of items contained within a specified collection.
-
D.
numberOfEntries
chosen
Indicates the total count of individual items, records, or instances associated with a given entity or context.
-
E.
numberOfListSeats
Indicates the total count of seats allocated from a party or group list within a representative body or election system.
- F. None of above.
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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.