Triple

T346729
Position Surface form Disambiguated ID Type / Status
Subject Pashto language E6957 entity
Predicate hasPhonologicalInfluenceOn P4183 FINISHED
Object neighboring regional languages in Afghanistan and Pakistan 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: neighboring regional languages in Afghanistan and Pakistan | Statement: [Pashto language, hasPhonologicalInfluenceOn, neighboring regional languages in Afghanistan and Pakistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonologicalInfluenceOn
Context triple: [Pashto language, hasPhonologicalInfluenceOn, neighboring regional languages in Afghanistan and Pakistan]
  • 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. hasPhonologicalChange
    Indicates a relationship where one linguistic form undergoes a change in its sound structure relative to another form or earlier state.
  • C. hasPhonologicalSimilarityTo
    Indicates that two linguistic elements share similar sound patterns or phonological features.
  • D. hasPhonemicContrast
    Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
  • E. influencedLanguage chosen
    Indicates that one language has had an effect on the development, structure, or usage of another language.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1a37c08190b1380f6bf8513a37 completed Feb. 28, 2026, 1:18 p.m.
PD Predicate disambiguation batch_69a2e95451a4819090f4e4fb9b21a493 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.