Triple

T24757265
Position Surface form Disambiguated ID Type / Status
Subject Yabem language E619324 entity
Predicate hasLexifierRelation P103821 FINISHED
Object lexifier for some regional pidginized varieties 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: lexifier for some regional pidginized varieties | Statement: [Yabem language, hasLexifierRelation, lexifier for some regional pidginized varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLexifierRelation
Context triple: [Yabem language, hasLexifierRelation, lexifier for some regional pidginized varieties]
  • A. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • B. hasMajorLexifier chosen
    Indicates that a language has another language as its primary lexical source or main contributor of its vocabulary.
  • C. hasTypologicalRelation
    Indicates a relationship where two linguistic entities are connected based on shared structural or typological features, such as word order, morphology, or phonological patterns.
  • D. semanticRelation
    Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
  • E. secondaryLexifier
    Indicates that one language serves as a secondary source of lexical items or vocabulary for another language, supplementing the primary lexifier.
  • 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 4:26 a.m.