Triple

T28631214
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Wikipedia E724642 entity
Predicate hasGoodArticles P166885 FINISHED
Object true 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: true | Statement: [Ukrainian Wikipedia, hasGoodArticles, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGoodArticles
Context triple: [Ukrainian Wikipedia, hasGoodArticles, true]
  • A. containsArticle
    Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
  • B. hasAdditionalArticlesSince
    Indicates that an entity has gained one or more new articles since a specified prior point in time or state.
  • C. containsArticleOn
    Indicates that one entity includes or features an article about another entity within its content or collection.
  • D. hasWorksAbout
    Indicates that one entity (such as a creator, collection, or source) includes or is associated with works whose subject or focus is another entity.
  • E. hasArticleStructure
    Indicates that one entity possesses or follows a specific article-like structural organization (e.g., sections, headings, or layout).
  • F. None of above. chosen

Provenance (4 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f664aa283c8190a869d0555eff60c6 completed May 2, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f6645a615481909b53d94512ecbaf1 completed May 2, 2026, 8:53 p.m.
Created at: April 28, 2026, 4:37 a.m.