Triple

T8814837
Position Surface form Disambiguated ID Type / Status
Subject Revolution E209751 entity
Predicate controlInnovation P84761 FINISHED
Object motion sensing 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: motion sensing | Statement: [Revolution, controlInnovation, motion sensing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlInnovation
Context triple: [Revolution, controlInnovation, motion sensing]
  • A. controlMethods
    Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
  • B. exportControl
    Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
  • C. controlMeasure
    Indicates a relationship where one entity implements or applies a method, action, or mechanism to regulate, mitigate, or manage a risk, process, or condition associated with another entity.
  • D. equilibriumControlled
    Indicates that one entity maintains or regulates the equilibrium state or balance condition of another entity or system.
  • E. controlledChamber
    Indicates that an entity has authority over, manages, or directs the operations or decisions of a particular chamber or deliberative body.
  • F. None of above. chosen

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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff1a4448190b5559f440d264442 completed March 31, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc5c21e64c81908490e3b0875dc0d6 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cff3608819081d2d7e5c16d44b7 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:45 p.m.