Triple
T38387745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflets dans l’eau |
E899624
|
entity |
| Predicate | numberOfBooksInCollection |
—
|
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: numberOfBooksInCollection Context triple: [Reflets dans l’eau, numberOfBooksInCollection, 2]
-
A.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
B.
bookNumberInCollection
Indicates the specific numerical position assigned to a book within a particular collection.
-
C.
numberOfCompletedBooks
Indicates the total count of books that an entity has finished reading or completing.
-
D.
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.
-
E.
librarySystemSize
Indicates the overall scale or capacity of a library system, such as the number of branches, items, or resources it encompasses.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.