Triple

T12370237
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Sol E294980 entity
Predicate owner P347 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: [Los Angeles Sol, owner, AEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG
Context triple: [Los Angeles Sol, owner, 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. 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.
  • E. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.