Triple
T19374685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boursorama |
E484635
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Boursorama Banque en ligne |
—
|
NE NERFINISHED |
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: Boursorama Banque en ligne | Statement: [Boursorama, hasBrand, Boursorama Banque en ligne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boursorama Banque en ligne Context triple: [Boursorama, hasBrand, Boursorama Banque en ligne]
-
A.
Boursorama
chosen
Boursorama is a French online bank and financial services company known for its low-cost digital banking and brokerage offerings.
-
B.
Bourse de Paris
Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
-
C.
Bourse de Commerce
The Bourse de Commerce is a historic circular building in central Paris that now serves as a contemporary art museum housing the Pinault Collection.
-
D.
Bombay Stock Exchange
The Bombay Stock Exchange is one of Asia’s oldest and largest stock exchanges, serving as a major financial marketplace in India for trading equities, derivatives, and other securities.
-
E.
Bourse
Bourse is a Paris Métro station in the 2nd arrondissement, named after and serving the historic Paris stock exchange area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5acc4481908fecfb57af16d037 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.