Triple

T12877917
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Claußnitz E736426 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: Claußnitz | Statement: [Leipzig metropolitan region, containsCity, Claußnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claußnitz
Context triple: [Leipzig metropolitan region, containsCity, Claußnitz]
  • A. Claußnitz chosen
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • B. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • C. Glauchau
    Glauchau is a town in the Free State of Saxony in eastern Germany, known for its historic castles and location in the industrial region of Zwickau.
  • D. Kretzschau
    Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
  • E. Züssow
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 5:38 p.m.