Triple

T9250000
Position Surface form Disambiguated ID Type / Status
Subject Infineon Technologies E222297 entity
Predicate formerlyPartOf P5057 FINISHED
Object Siemens AG E49800 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: Siemens AG | Statement: [Infineon Technologies, formerlyPartOf, Siemens AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens AG
Context triple: [Infineon Technologies, formerlyPartOf, Siemens AG]
  • A. Siemens chosen
    Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
  • B. S7 Group
    S7 Group is a Russian aviation holding company best known for owning and operating S7 Airlines and related air transport businesses.
  • C. Siemens Energy
    Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
  • D. Dürr AG
    Dürr AG is a German engineering company known globally for its production and automation technologies, particularly in painting, finishing, and environmental systems for the automotive and manufacturing industries.
  • E. ThyssenKrupp AG
    ThyssenKrupp AG is a major German multinational conglomerate specializing in industrial engineering and steel production, with significant operations in areas such as elevators, automotive components, and plant technology.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.