Triple

T19939162
Position Surface form Disambiguated ID Type / Status
Subject Bischofswerda E479256 entity
Predicate localMinorityLanguage P2267 FINISHED
Object Upper Sorbian NE NERFINISHED

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: Upper Sorbian | Statement: [Bischofswerda, localMinorityLanguage, Upper Sorbian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Sorbian
Context triple: [Bischofswerda, localMinorityLanguage, Upper Sorbian]
  • A. Upper Sorbian chosen
    Upper Sorbian is a West Slavic minority language spoken primarily in eastern Germany, especially in the region of Upper Lusatia.
  • B. Lower Sorbian
    Lower Sorbian is a West Slavic minority language spoken primarily in eastern Germany, especially in the Lower Lusatia region of Brandenburg.
  • C. Sorbian languages
    The Sorbian languages are a pair of closely related West Slavic minority languages spoken by the Sorb community primarily in eastern Germany, especially in Lusatia.
  • D. Silesian German
    Silesian German is a historical German dialect spoken in the Silesia region, influenced by both German and Slavic languages.
  • E. Altsächsisch
    Altsächsisch is a historical West Germanic language spoken by the Saxons in what is now northern Germany and parts of the Netherlands during the early Middle Ages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a19d77c819088bce99c94568d0d completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.