Triple

T1380846
Position Surface form Disambiguated ID Type / Status
Subject Bokmål E29332 entity
Predicate hasPhonologyBasedOn P5210 FINISHED
Object Eastern Norwegian dialects 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: Eastern Norwegian dialects | Statement: [Bokmål, hasPhonologyBasedOn, Eastern Norwegian dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonologyBasedOn
Context triple: [Bokmål, hasPhonologyBasedOn, Eastern Norwegian dialects]
  • A. hasStandardPronunciationBasedOn chosen
    Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
  • B. hasPhoneme
    Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
  • C. hasPhonologicalType
    Indicates that one entity is characterized by or classified as having a particular phonological type (e.g., in terms of sound structure or phonological category).
  • D. hasPhonemeInventory
    Indicates that an entity possesses a specific set or system of distinct speech sounds (phonemes) used in its language.
  • E. hasVowelSystem
    Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31b176c8190a896183140c5c8be completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.