Triple

T3982879
Position Surface form Disambiguated ID Type / Status
Subject AEG corporate identity E86799 entity
Predicate commissionedBy P27 FINISHED
Object AEG E403380 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: [AEG corporate identity, commissionedBy, AEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG
Context triple: [AEG corporate identity, commissionedBy, AEG]
  • A. AEG chosen
    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
    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. 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.
  • E. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b4447e08190aa90dd50f304a491 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:33 p.m.