Triple

T3380791
Position Surface form Disambiguated ID Type / Status
Subject Siemens Transportation Systems E71176 entity
Predicate hasFormerParentOrganization P5106 FINISHED
Object Siemens AG E49800 NE FINISHED

How this triple was built (3 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: [Siemens Transportation Systems, hasFormerParentOrganization, Siemens AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siemens AG
Context triple: [Siemens Transportation Systems, hasFormerParentOrganization, 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. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • E. Bosch
    Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerParentOrganization
Context triple: [Siemens Transportation Systems, hasFormerParentOrganization, Siemens AG]
  • A. formerParentOrganization chosen
    Indicates that one organization previously served as the parent organization of another, but no longer holds that status.
  • B. parentOrganization
    Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
  • C. hasFormerInstitution
    Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
  • D. parentOrganizationField
    Indicates that the field specifies or references the organization that serves as the parent or higher-level entity of another organization.
  • E. hasParentCompany
    Indicates that one company is owned or controlled by another company that serves as its parent organization.
  • F. None of above.

Provenance (4 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc17dd881908fc5fb0d4a23f40f completed March 12, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.