Triple
T1151498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAC 40 |
E23686
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Société Générale |
E111737
|
NE 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: Société Générale | Statement: [CAC 40, hasComponent, Société Générale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Société Générale Context triple: [CAC 40, hasComponent, Société Générale]
-
A.
Société Générale
chosen
Société Générale is a major French multinational investment and retail bank and financial services company headquartered in Paris.
-
B.
BNP Paribas
BNP Paribas is a major French international banking group and one of the largest financial institutions in Europe.
-
C.
Rothschild & Cie Banque
Rothschild & Cie Banque is a prominent French investment bank known for its advisory work on major mergers, acquisitions, and financial transactions.
-
D.
Caisse des Dépôts et Consignations
Caisse des Dépôts et Consignations is a French public financial institution that manages long-term investments and savings on behalf of the state and public interest missions.
-
E.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667a61248190b71033daadef58e3 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.