Triple
T1187479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibliothèque nationale de France |
E25279
|
entity |
| Predicate | VIAFID |
P3732
|
FINISHED |
| Object | 126221637 |
—
|
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: 126221637 | Statement: [Bibliothèque nationale de France, VIAFID, 126221637]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VIAFID Context triple: [Bibliothèque nationale de France, VIAFID, 126221637]
-
A.
via
Indicates that something occurs, is achieved, or is connected by means of, through the use of, or along the route of another entity or medium.
-
B.
identifierFor
chosen
Indicates that one entity serves as a unique identifying label or code for another entity.
-
C.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
EUAccession
Indicates that an entity becomes a member state of the European Union through the formal accession process.
-
E.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
- 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.