Triple
T23968218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festetics Palace |
E604151
|
entity |
| Predicate | libraryCollectionSize |
P425
|
FINISHED |
| Object | over 80,000 volumes |
—
|
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: over 80,000 volumes | Statement: [Festetics Palace, libraryCollectionSize, over 80,000 volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: libraryCollectionSize Context triple: [Festetics Palace, libraryCollectionSize, over 80,000 volumes]
-
A.
librarySystemSize
Indicates the overall scale or capacity of a library system, such as the number of branches, items, or resources it encompasses.
-
B.
bookNumberInCollection
Indicates the specific numerical position assigned to a book within a particular collection.
-
C.
numberOfBooks
Indicates the quantity of books associated with a given entity.
-
D.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
-
E.
libraryCollectionType
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1da2ab08190bfe653fb5a9f2c96 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.