Triple

T30406462
Position Surface form Disambiguated ID Type / Status
Subject GTE Sylvania E773492 entity
Predicate roleInParentCompany P127826 FINISHED
Object diversification into electronics and lighting LITERAL 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: diversification into electronics and lighting | Statement: [GTE Sylvania, roleInParentCompany, diversification into electronics and lighting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInParentCompany
Context triple: [GTE Sylvania, roleInParentCompany, diversification into electronics and lighting]
  • A. hasParentCompanyRole chosen
    Indicates that an entity holds a specific role or function within its parent company in a corporate hierarchy.
  • B. roleInFatherWork
    Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
  • C. roleInIndustry
    Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
  • D. roleInCompanyLifecycle
    Indicates the specific function or responsibility an entity has at a particular stage of a company's lifecycle.
  • E. socialRoleInWork
    Indicates the role or position an entity holds within a work-related or professional social context.
  • F. None of above.

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_69f2248facd48190b183c3f3ca6daef7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ff6074bcd4819090b72cd6209ff206 completed May 9, 2026, 4:27 p.m.
PD Predicate disambiguation batch_69ff600aba888190812a6e7eca0283b8 completed May 9, 2026, 4:25 p.m.
Created at: April 29, 2026, 8:04 p.m.