Triple

T2378255
Position Surface form Disambiguated ID Type / Status
Subject Central German languages E46249 entity
Predicate hasPart P35 FINISHED
Object Rhenish Franconian E21394 NE 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: Rhenish Franconian | Statement: [Central German languages, hasPart, Rhenish Franconian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhenish Franconian
Context triple: [Central German languages, hasPart, Rhenish Franconian]
  • A. Rhenish Franconian chosen
    Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
  • B. East Franconian
    East Franconian is a High German dialect spoken primarily in parts of northern Bavaria, Thuringia, and Baden-Württemberg, forming a transitional variety between Upper and Central German dialects.
  • C. Alemannic German
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • D. Nuremberg dialect
    The Nuremberg dialect is a regional variety of East Franconian German traditionally spoken in and around the city of Nuremberg in Bavaria.
  • E. Upper German
    Upper German is a major group of High German dialects spoken primarily in southern Germany, Austria, Switzerland, and parts of neighboring countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7974aa481908799ef2f854d1c9d completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef094fd8081909fc9a19f3e36c0d0 completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:57 p.m.