Triple

T22463305
Position Surface form Disambiguated ID Type / Status
Subject Merlin Gerin E555283 entity
Predicate brandIntegration P54196 FINISHED
Object Schneider Electric branding NE NERFINISHED

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: Schneider Electric branding | Statement: [Merlin Gerin, brandIntegration, Schneider Electric branding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schneider Electric branding
Context triple: [Merlin Gerin, brandIntegration, Schneider Electric branding]
  • A. Schneider Electric chosen
    Schneider Electric is a French multinational company specializing in energy management and industrial automation solutions for homes, buildings, data centers, infrastructure, and industry.
  • B. Legrand
    Legrand is a French multinational company specializing in electrical and digital building infrastructure solutions, including switches, sockets, and cable management systems.
  • C. Schneider
    Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • D. Cegelec
    Cegelec is an international engineering and technology services company specializing in electrical, automation, and information systems for infrastructure and industry.
  • E. Eaton’s
    Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b819d24819084e9b1a7c596345a completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.