Triple

T14377998
Position Surface form Disambiguated ID Type / Status
Subject Sámi languages E356523 entity
Predicate areMutuallyIntelligibleWithinSubgroups P7448 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: [Sámi languages, areMutuallyIntelligibleWithinSubgroups, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areMutuallyIntelligibleWithinSubgroups
Context triple: [Sámi languages, areMutuallyIntelligibleWithinSubgroups, true]
  • A. areMutuallyIntelligibleToSomeDegree chosen
    Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
  • B. linguisticSubgroup
    Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or family.
  • C. lessMutuallyIntelligibleThan
    Indicates that the level of mutual intelligibility between one pair of languages (or language varieties) is lower than that between another pair.
  • D. hasLanguageGroup
    Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
  • E. usesLanguageSubfamily
    Indicates that one entity communicates or operates using a language that belongs to a specified language subfamily.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:16 a.m.