Triple

T30300733
Position Surface form Disambiguated ID Type / Status
Subject Motion Photos E770644 entity
Predicate supportsStabilization P12760 FINISHED
Object yes, via Google Photos processing 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: yes, via Google Photos processing | Statement: [Motion Photos, supportsStabilization, yes, via Google Photos processing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsStabilization
Context triple: [Motion Photos, supportsStabilization, yes, via Google Photos processing]
  • A. stabilizationCompensation
    Indicates a compensatory action or mechanism that counteracts changes or disturbances in order to maintain or restore stability in a system or process.
  • B. stabilizedBy chosen
    Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
  • C. hasStabilizers
    Indicates that an entity is equipped with stabilizing components or mechanisms that enhance its balance, steadiness, or resistance to unwanted motion.
  • D. stabilizationWork
    Indicates actions taken to reinforce, secure, or steady something to prevent deterioration, failure, or unwanted change.
  • E. stabilizationOutcome
    Indicates the result or state achieved after a stabilization process has been applied to something.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 7:48 p.m.