Triple
T18882445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiffage |
E461864
|
entity |
| Predicate | legalForm |
P64
|
FINISHED |
| Object | Société Anonyme |
—
|
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: Société Anonyme | Statement: [Eiffage, legalForm, Société Anonyme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Société Anonyme Context triple: [Eiffage, legalForm, Société Anonyme]
-
A.
Société Anonyme
chosen
Société Anonyme is a common French corporate structure for large, share-based companies with limited liability and publicly tradable shares.
-
B.
Société Générale d’Entreprises
Société Générale d’Entreprises was the former name of Vinci SA, a major French construction and concessions group.
-
C.
Société Générale de Belgique
Société Générale de Belgique was a major Belgian holding company and financial institution that played a central role in the country’s industrial and economic development from the 19th to the late 20th century.
-
D.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
E.
Société du Marché Bonsecours
Société du Marché Bonsecours is the organization responsible for managing and promoting the historic Bonsecours Market, a major heritage and cultural landmark in Old Montreal, Canada.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3286081908c1ae2cb413b49aa |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.