Triple

T8398768
Position Surface form Disambiguated ID Type / Status
Subject Landscape with a Goatherd and Goats E198117 entity
Predicate intendedViewpoint P31096 FINISHED
Object single fixed viewpoint 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: single fixed viewpoint | Statement: [Landscape with a Goatherd and Goats, intendedViewpoint, single fixed viewpoint]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedViewpoint
Context triple: [Landscape with a Goatherd and Goats, intendedViewpoint, single fixed viewpoint]
  • A. perspectiveOf
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • B. viewpointFrom
    Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
  • C. useOfPerspective
    Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
  • D. hasViewpointType chosen
    Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
  • E. narrativePerspective
    Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824ac29481909f02cdb2b7cd18af completed March 31, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69cb70d24b248190a326aa6804f942b5 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:04 p.m.