Triple

T30644152
Position Surface form Disambiguated ID Type / Status
Subject Canon EOS M6 Mark II E780072 entity
Predicate imageStabilization P17639 FINISHED
Object digital IS for video 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: digital IS for video | Statement: [Canon EOS M6 Mark II, imageStabilization, digital IS for video]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imageStabilization
Context triple: [Canon EOS M6 Mark II, imageStabilization, digital IS for video]
  • A. hasOpticalImageStabilization chosen
    Indicates that a device or component includes a feature that reduces image blur caused by camera movement during capture.
  • B. stabilizationCompensation
    Indicates a compensatory action or mechanism that counteracts changes or disturbances in order to maintain or restore stability in a system or process.
  • C. usesStills
    Indicates that one entity employs or incorporates still images or photographs as part of its content, process, or representation.
  • D. gimbalCapability
    Indicates the ability of a system or device to support and control a gimbal’s movement or stabilization functions.
  • E. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • 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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a58cd808190bc1cdaa106291084 completed May 2, 2026, 11:35 p.m.
PD Predicate disambiguation batch_69f67e448a9c8190b591374d98799fe3 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:29 p.m.