Triple
T37806741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YA Book Prize |
E942523
|
entity |
| Predicate | numberOfShortlistedBooks |
—
|
GENERATED |
| Object | 10 |
—
|
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: numberOfShortlistedBooks Context triple: [YA Book Prize, numberOfShortlistedBooks, 10]
-
A.
numberOfBooks
Indicates the quantity of books associated with a given entity.
-
B.
intendedNumberOfBooks
Indicates the number of books that an agent plans or aims to have, produce, read, or otherwise be associated with, as opposed to the number actually realized.
-
C.
originalLengthBooks
Indicates that the books are in their original, unabridged length without reductions or modifications.
-
D.
hasShortlistedAuthor
Indicates that an entity has selected or included a particular author on a shortlist for consideration or recognition.
-
E.
shortListSize
chosen
Indicates the number of items currently contained in a short list associated with an entity or process.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.