Triple
T5933431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AXA |
E131989
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Mutuelles Unies |
E131989
|
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: Mutuelles Unies | Statement: [AXA, formerName, Mutuelles Unies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutuelles Unies Context triple: [AXA, formerName, Mutuelles Unies]
-
A.
Harmonie Mutuelle Semi de Paris
Harmonie Mutuelle Semi de Paris is a major annual half marathon held in Paris, France, attracting tens of thousands of runners from around the world.
-
B.
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.
-
C.
AXA
chosen
AXA is a major French multinational insurance and asset management company headquartered in Paris.
-
D.
Caisse d’Epargne
Caisse d’Epargne was a French professional road cycling team, sponsored by the French savings bank group of the same name, that competed at the highest level of the sport in the 2000s.
-
E.
Allianz
Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.