Triple

T991271
Position Surface form Disambiguated ID Type / Status
Subject Rhenish Franconian E21394 entity
Predicate partOfDialectContinuum P18451 FINISHED
Object German dialect continuum 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: German dialect continuum | Statement: [Rhenish Franconian, partOfDialectContinuum, German dialect continuum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfDialectContinuum
Context triple: [Rhenish Franconian, partOfDialectContinuum, German dialect continuum]
  • A. hasDialectContinuumWith chosen
    Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
  • B. regionalDialect
    Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
  • C. sharesIsoglossWith
    Indicates that two linguistic varieties share a common isogloss, i.e., they exhibit the same geographically bounded linguistic feature or boundary.
  • D. areMutuallyIntelligibleToSomeDegree
    Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
  • E. linguisticArea
    Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2adbde48190b07966d0c3179516 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.