Triple

T31656564
Position Surface form Disambiguated ID Type / Status
Subject Mom E807871 entity
Predicate companyTypeControlled P66662 FINISHED
Object robot-manufacturing conglomerate 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: robot-manufacturing conglomerate | Statement: [Mom, companyTypeControlled, robot-manufacturing conglomerate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: companyTypeControlled
Context triple: [Mom, companyTypeControlled, robot-manufacturing conglomerate]
  • A. companyTypeGoverned
    Indicates that one entity has regulatory or governing authority over the type or classification of a company.
  • B. controlledOrganization
    Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
  • C. underlyingCompanyType chosen
    Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
  • D. isControlledUnder
    Indicates that one entity is subject to regulatory, legal, or authoritative control exercised by another entity or governing framework.
  • E. ownedCompany
    Indicates that one entity possesses legal ownership or controlling interest in another entity that is a company.
  • 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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: April 30, 2026, 10:55 p.m.