Triple

T23250660
Position Surface form Disambiguated ID Type / Status
Subject Unterföhring E581721 entity
Predicate hasCompany P1287 FINISHED
Object Allianz (offices) 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: Allianz (offices) | Statement: [Unterföhring, hasCompany, Allianz (offices)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allianz (offices)
Context triple: [Unterföhring, hasCompany, Allianz (offices)]
  • 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. Allianz Riviera SAS
    Allianz Riviera SAS is the company responsible for managing and operating the Allianz Riviera stadium in Nice, France.
  • C. Allianz Real Estate
    Allianz Real Estate is a global real estate investment and asset management firm that oversees and acquires high-quality commercial properties on behalf of Allianz Group.
  • D. management board of Allianz SE
    The management board of Allianz SE is the executive leadership body responsible for directing the strategy and operations of the global financial services company Allianz SE.
  • 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 (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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f5aa9081909775fb7f7dc660b3 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.