Triple

T13411435
Position Surface form Disambiguated ID Type / Status
Subject Parc Olympique Lyonnais E320096 entity
Predicate sponsor P67 FINISHED
Object Groupama E1005011 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: Groupama | Statement: [Parc Olympique Lyonnais, sponsor, Groupama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groupama
Context triple: [Parc Olympique Lyonnais, sponsor, Groupama]
  • A. Groupama chosen
    Groupama is a major French mutual insurance and financial services group known for its extensive network and sponsorship activities in sports and culture.
  • 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. AXA
    AXA is a major French multinational insurance and asset management company headquartered in Paris.
  • D. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • 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 (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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.