Triple

T17632410
Position Surface form Disambiguated ID Type / Status
Subject Neil Gunn Prize E430009 entity
Predicate followsThemeOf P47061 FINISHED
Object landscape 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: landscape | Statement: [Neil Gunn Prize, followsThemeOf, landscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsThemeOf
Context triple: [Neil Gunn Prize, followsThemeOf, landscape]
  • A. followsInTheme
    Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
  • B. followsTheme chosen
    Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
  • C. usesThemeFrom
    Indicates that one work incorporates, references, or is based on the thematic material of another work.
  • D. followsPlatformOf
    Indicates that one entity subscribes to, tracks, or receives updates from another entity’s activity on a specific platform.
  • E. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69e3cddc87188190ac2f049b86038676 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:52 a.m.