Triple

T25779427
Position Surface form Disambiguated ID Type / Status
Subject Torbeshi E649246 entity
Predicate associatedStateLanguage P76178 FINISHED
Object Macedonian language 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: Macedonian language | Statement: [Torbeshi, associatedStateLanguage, Macedonian language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedStateLanguage
Context triple: [Torbeshi, associatedStateLanguage, Macedonian language]
  • A. associatedLanguageRegulator
    Indicates that one entity serves as the official or recognized regulatory body responsible for overseeing, standardizing, or managing the language associated with another entity.
  • B. adoptedLanguage chosen
    Indicates that an entity has chosen and begun using a particular language, typically as its official, primary, or preferred means of communication.
  • C. eligibleLanguage
    Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
  • D. linkedToLanguage
    Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
  • E. closelyAssociatedLanguage
    Indicates that one language is closely connected to another, such as through frequent co-use, mutual influence, or strong cultural or regional association.
  • 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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fdd5fba5048190b7d430ae2054a1fd completed May 8, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69fdd35f76f88190a1854ea27132f9c7 completed May 8, 2026, 12:13 p.m.
Created at: April 22, 2026, 5:37 a.m.