Triple
T1187477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibliothèque nationale de France |
E25279
|
entity |
| Predicate | digitalLibraryWebsite |
P4645
|
FINISHED |
| Object | https://gallica.bnf.fr |
—
|
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: https://gallica.bnf.fr | Statement: [Bibliothèque nationale de France, digitalLibraryWebsite, https://gallica.bnf.fr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalLibraryWebsite Context triple: [Bibliothèque nationale de France, digitalLibraryWebsite, https://gallica.bnf.fr]
-
A.
hasDigitalLibrary
chosen
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
B.
library
Indicates that an entity functions as or is associated with a library, typically as a place or system for storing, organizing, and providing access to collections of information resources.
-
C.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
D.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
-
E.
digitizedBy
Indicates that a physical or analog item has been converted into digital form by a particular agent or organization.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd5578b08190bbe4089857fbf166 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.