Triple

T14401837
Position Surface form Disambiguated ID Type / Status
Subject Finland-Swedish Sign Language E357090 entity
Predicate hasDistinctPhonology P35120 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: [Finland-Swedish Sign Language, hasDistinctPhonology, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDistinctPhonology
Context triple: [Finland-Swedish Sign Language, hasDistinctPhonology, true]
  • A. hasOwnPhonology chosen
    Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
  • B. hasPhonemicContrast
    Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
  • C. hasPhonologicalDescription
    Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
  • D. hasPhonologicalParameters
    Indicates that an entity is associated with specific phonological features or parameters that characterize its sound structure.
  • E. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.