Triple

T35761015
Position Surface form Disambiguated ID Type / Status
Subject Pirot dialect area E1033568 entity
Predicate hasNeighboringDialectArea P157697 FINISHED
Object Niš dialect area 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: Niš dialect area | Statement: [Pirot dialect area, hasNeighboringDialectArea, Niš dialect area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNeighboringDialectArea
Context triple: [Pirot dialect area, hasNeighboringDialectArea, Niš dialect area]
  • A. hasNeighboringLanguages
    Indicates that two languages are geographically or regionally adjacent to each other in their areas of use.
  • B. hasNeighboringLanguageCommunity
    Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
  • C. spokenInNeighboringRegionsOf chosen
    Indicates that a language or speech variety is used in regions that geographically border the primary region associated with another language or entity.
  • D. hasDialectContinuumWith
    Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
  • E. hasDialectalCounterpart
    Indicates that one linguistic form has a corresponding equivalent or variant in another dialect.
  • 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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a002ae74da08190a4b47e0ff0f7f8fe completed May 10, 2026, 6:51 a.m.
PD Predicate disambiguation batch_6a0029cc369c81909578e52c4a75ab18 completed May 10, 2026, 6:46 a.m.
Created at: May 3, 2026, 4:06 p.m.