Triple

T636392
Position Surface form Disambiguated ID Type / Status
Subject Swedish language E16630 entity
Predicate hasDefinitenessMarking P5228 FINISHED
Object suffixed definite article 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: suffixed definite article | Statement: [Swedish language, hasDefinitenessMarking, suffixed definite article]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDefinitenessMarking
Context triple: [Swedish language, hasDefinitenessMarking, suffixed definite article]
  • A. hasDefinitenessDistinction
    Indicates that a language or system grammatically distinguishes between definite and indefinite (or otherwise specified) reference in its expressions.
  • B. hasCaseMarking
    Indicates that a linguistic element (such as a noun or pronoun) bears a specific grammatical case marking that signals its syntactic or semantic role in a clause.
  • C. hasDefiniteArticle chosen
    Indicates that the referenced entity or term is accompanied by a definite article (such as "the") in the given context.
  • D. hasNoIndefiniteArticle
    Indicates that the related entity is expressed without an indefinite article (such as “a” or “an”) in the given linguistic context.
  • E. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d0483908190a5ec42a7403c258e completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.