Triple

T35761034
Position Surface form Disambiguated ID Type / Status
Subject Pirot dialect area E1033568 entity
Predicate linguisticAreaType P17400 FINISHED
Object contact zone between Serbian and Bulgarian 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: contact zone between Serbian and Bulgarian dialects | Statement: [Pirot dialect area, linguisticAreaType, contact zone between Serbian and Bulgarian dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linguisticAreaType
Context triple: [Pirot dialect area, linguisticAreaType, contact zone between Serbian and Bulgarian dialects]
  • A. linguisticArea chosen
    Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
  • B. languageArea
    Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
  • C. linguisticStatusOfArea
    Indicates the linguistic status or condition that characterizes a particular geographic area.
  • D. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • E. primaryLanguageArea
    Indicates that a specified region or area is one where a particular language is predominantly used or officially recognized as primary.
  • 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_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.