Triple

T12303159
Position Surface form Disambiguated ID Type / Status
Subject Allianz Parque E293282 entity
Predicate namedAfter P63 FINISHED
Object Allianz SE E117565 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: Allianz SE | Statement: [Allianz Parque, namedAfter, Allianz SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allianz SE
Context triple: [Allianz Parque, namedAfter, Allianz SE]
  • A. Allianz chosen
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • B. Munich Re
    Munich Re is a leading global reinsurance company based in Germany, known for providing risk management and insurance solutions worldwide.
  • C. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • D. AXA
    AXA is a major French multinational insurance and asset management company headquartered in Paris.
  • E. Allianz Global Investors
    Allianz Global Investors is a global asset management firm providing investment solutions across a wide range of asset classes to institutional and retail clients 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.