Triple

T17070582
Position Surface form Disambiguated ID Type / Status
Subject Accor Arena E414206 entity
Predicate operator P179 FINISHED
Object AEG France E222077 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: AEG France | Statement: [Accor Arena, operator, AEG France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG France
Context triple: [Accor Arena, operator, AEG France]
  • A. AEG Europe chosen
    AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
  • B. AEG
    AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
  • C. Elektra France
    Elektra France is the French branch of the Elektra Music Group, responsible for managing the label’s artists, releases, and operations within France.
  • D. AEG power tools
    AEG power tools is a brand of professional-grade electric power tools and equipment originally associated with the German electrical company AEG.
  • E. Mann-Grundig
    Mann-Grundig was a professional cycling team active in the 1960s and 1970s, known for competing in major European road races.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc0982c8190916f9905ddb5e575 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01235278d48190bacc7881b9eb1ea1 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.