Triple

T22460767
Position Surface form Disambiguated ID Type / Status
Subject Groupe Drouot E555222 entity
Predicate associatedWith P37 FINISHED
Object AXA Group 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: AXA Group | Statement: [Groupe Drouot, associatedWith, AXA Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AXA Group
Context triple: [Groupe Drouot, associatedWith, AXA Group]
  • A. AXA chosen
    AXA is a major French multinational insurance and asset management company headquartered in Paris.
  • B. BNP Paribas Cardif
    BNP Paribas Cardif is the insurance subsidiary of the BNP Paribas banking group, specializing in savings and protection insurance solutions worldwide.
  • C. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • D. Vaudoise Assurances
    Vaudoise Assurances is a Swiss insurance company known for offering a wide range of insurance and financial services and for its prominent sponsorship activities in Swiss sports and culture.
  • E. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.