Triple

T25511974
Position Surface form Disambiguated ID Type / Status
Subject Country Gardens E639406 entity
Predicate featuresCinematographyOf P145815 FINISHED
Object garden landscapes 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: garden landscapes | Statement: [Country Gardens, featuresCinematographyOf, garden landscapes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresCinematographyOf
Context triple: [Country Gardens, featuresCinematographyOf, garden landscapes]
  • A. cinematographyIncludes
    Indicates that a cinematographic work or process contains or makes use of specific visual techniques, elements, or components as part of its overall execution.
  • B. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • C. hasCinematicFeature chosen
    Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
  • D. cinematographyNotedFor
    Indicates that the subject’s cinematography is especially recognized or distinguished for the object (such as a particular work, style, or notable quality).
  • E. filmingTechnique
    Indicates the specific method or style used to capture visual content during the filming process.
  • 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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 21, 2026, 2:49 p.m.