Triple

T35716955
Position Surface form Disambiguated ID Type / Status
Subject Dienstreizen van een thuisblijver E1032040 entity
Predicate perspectief P8789 FINISHED
Object eerste persoon 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: eerste persoon | Statement: [Dienstreizen van een thuisblijver, perspectief, eerste persoon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perspectief
Context triple: [Dienstreizen van een thuisblijver, perspectief, eerste persoon]
  • A. perspectiveOf chosen
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • B. exploresPerspectiveOf
    Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
  • C. useOfPerspective
    Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
  • D. settingOfPerspective
    Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
  • E. featuresPerspective
    Indicates that one entity presents, embodies, or incorporates the viewpoint, angle, or outlook provided by another entity.
  • 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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.