Triple

T5933855
Position Surface form Disambiguated ID Type / Status
Subject Schneider Electric E131997 entity
Predicate formerName P65 FINISHED
Object Schneider Group E131997 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: Schneider Group | Statement: [Schneider Electric, formerName, Schneider Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schneider Group
Context triple: [Schneider Electric, formerName, Schneider Group]
  • A. Schneider and Co.
    Schneider and Co. was an engineering and construction firm known for its role in designing major infrastructure projects such as India’s historic Pamban Bridge.
  • B. Schneider
    Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • C. 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.
  • D. Thales Group
    Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
  • E. Mitre Corporation
    Mitre Corporation is a not-for-profit organization that operates federally funded research and development centers, providing systems engineering and advanced technology support primarily to U.S. government agencies.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3affd748190a37e3cc60e58d6a6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.