Triple

T34613403
Position Surface form Disambiguated ID Type / Status
Subject A Camera Recording Its Own Condition (7 apertures, 10 speeds, 2 mirrors) E888797 entity
Predicate featureCountMirrors GENERATED
Object 2 UNRECOGNIZED GENERATED

How this triple was built (1 step)

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.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featureCountMirrors
Context triple: [A Camera Recording Its Own Condition (7 apertures, 10 speeds, 2 mirrors), featureCountMirrors, 2]
  • A. mirrorCount chosen
    Indicates the number of mirrors associated with or present in relation to a given entity or context.
  • B. hasNumberOfPrimaryMirrors
    Indicates the relationship specifying how many primary mirrors are associated with a given entity.
  • C. trialMirrors
    Indicates that one trial serves as a mirror or counterpart to another trial, reflecting its conditions, structure, or outcomes for comparison or replication purposes.
  • D. mirrorsStructureOf
    Indicates that one entity’s overall organization, pattern, or arrangement closely corresponds to and reflects the structure of another entity.
  • E. featureCountSpeeds
    Indicates that an entity specifies or records the number of distinct speed options or speed levels associated with another entity.
  • F. None of above.

Provenance (1 batch)

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_69f349d584e08190b40b9f6281ad50c4 completed April 30, 2026, 12:23 p.m.
Created at: May 1, 2026, 2:03 a.m.