Triple

T30358095
Position Surface form Disambiguated ID Type / Status
Subject Canon EF lens mount E772200 entity
Predicate mechanicalApertureCoupling P11991 FINISHED
Object no 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: no | Statement: [Canon EF lens mount, mechanicalApertureCoupling, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mechanicalApertureCoupling
Context triple: [Canon EF lens mount, mechanicalApertureCoupling, no]
  • A. hasApertureShape
    Indicates that an entity’s aperture (opening) has a specific geometric or descriptive shape.
  • B. couplingCapability
    Indicates the ability or suitability of one entity to connect, link, or interface with another in a functional or compatible manner.
  • C. requiresTelescopeAperture
    Indicates that performing the specified observation or task depends on using a telescope with at least a certain aperture size.
  • D. connectorDesign
    Indicates a relationship where one entity specifies or defines the design or configuration of a connector used to link or interface components.
  • E. mechanicalKeying chosen
    Indicates that one entity physically engages or interlocks with another through a shaped mechanical interface (such as keys, slots, or profiles) to ensure correct positioning, alignment, or coupling.
  • 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f682417ec08190982dd9acf7219742 completed May 2, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 7:57 p.m.