Triple

T4051885
Position Surface form Disambiguated ID Type / Status
Subject GDPR E84602 entity
Predicate hasArticlesCount P443 FINISHED
Object 99 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: 99 | Statement: [GDPR, hasArticlesCount, 99]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArticlesCount
Context triple: [GDPR, hasArticlesCount, 99]
  • A. articleCount chosen
    Indicates the number of articles associated with a given entity or context.
  • B. hasArticleSystem
    Indicates that a language or system employs a structured set of articles (such as definite or indefinite markers) as part of its grammar.
  • C. containsArticle
    Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
  • D. containsArticleOn
    Indicates that one entity includes or features an article about another entity within its content or collection.
  • E. articleNumber
    Indicates that one entity is identified or referenced by a specific article number assigned to it.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8539148190990468c1429be9dd completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.