Triple

T23098334
Position Surface form Disambiguated ID Type / Status
Subject Kreis Döbeln E575956 entity
Predicate hasMunicipality P847 FINISHED
Object Roßwein 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: Roßwein | Statement: [Kreis Döbeln, hasMunicipality, Roßwein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roßwein
Context triple: [Kreis Döbeln, hasMunicipality, Roßwein]
  • A. Roßwein chosen
    Roßwein is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location along the Freiberger Mulde river.
  • B. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • C. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • D. Lemberger
    Lemberger is a dark-skinned red wine grape variety, also known as Blaufränkisch, valued for producing spicy, medium- to full-bodied wines.
  • E. Weinke
    Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de71a088190b91918e6c4ea6e97 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.