Triple

T12045404
Position Surface form Disambiguated ID Type / Status
Subject Roßlau (Elbe) E286772 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Wörlitz E419946 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: Wörlitz | Statement: [Roßlau (Elbe), hasNeighbouringSettlement, Wörlitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wörlitz
Context triple: [Roßlau (Elbe), hasNeighbouringSettlement, Wörlitz]
  • A. Wörlitz chosen
    Wörlitz is a historic town in Saxony-Anhalt, Germany, best known for its UNESCO-listed Dessau-Wörlitz Garden Realm, one of the earliest and most significant landscape parks in continental Europe.
  • B. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • C. Moritzburg
    Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
  • D. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • E. Birkenwerder
    Birkenwerder is a small municipality in the German state of Brandenburg, located just north of Berlin and known for its residential character and surrounding forests.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f649dbf081908e76c45e362217c1 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.