Triple

T14992919
Position Surface form Disambiguated ID Type / Status
Subject Xbox Plaza E373881 entity
Predicate operator P179 FINISHED
Object AEG 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 | Statement: [Xbox Plaza, operator, AEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG
Context triple: [Xbox Plaza, operator, AEG]
  • A. AEG
    AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
  • B. AEG Europe chosen
    AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
  • C. 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.
  • D. Gorenje
    Gorenje is a Slovenian home appliance manufacturer known for producing a wide range of kitchen and household appliances for the European and global markets.
  • E. Electrolux
    Electrolux is a Swedish multinational home appliance manufacturer known for producing a wide range of kitchen and cleaning products for both consumers and professionals.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc7f4b48190b95af06d443fa37c completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:53 a.m.