Triple

T18243349
Position Surface form Disambiguated ID Type / Status
Subject History of the Dutch parliamentary system E436876 entity
Predicate hasAuthorExpertise P106039 FINISHED
Object Dutch constitutional law 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: Dutch constitutional law | Statement: [History of the Dutch parliamentary system, hasAuthorExpertise, Dutch constitutional law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAuthorExpertise
Context triple: [History of the Dutch parliamentary system, hasAuthorExpertise, Dutch constitutional law]
  • A. basedOnExpertiseOf chosen
    Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
  • B. hasAuthor
    Indicates that an entity is written or created by a specific author.
  • C. hasAuthorConcept
    Indicates that an entity is associated with a conceptual or abstract representation of its author, rather than a specific individual author instance.
  • D. hasAuthorOf
    Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
  • E. hasAuthorType
    Indicates that an entity is associated with an author characterized by a specific role, category, or type.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e4f0548190bc617e6acd17010d completed April 19, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69e44fcdee748190bae6fb76e0cb22f3 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:33 a.m.