Triple

T22751720
Position Surface form Disambiguated ID Type / Status
Subject Rheineck E562717 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Lutzenberg 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: Lutzenberg | Statement: [Rheineck, neighboringMunicipality, Lutzenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lutzenberg
Context triple: [Rheineck, neighboringMunicipality, Lutzenberg]
  • A. Lutzenberg chosen
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • B. Wimberg
    Wimberg is a district or neighborhood within the town of Calw in the state of Baden-Württemberg, Germany.
  • C. Lietzenburg
    Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
  • D. Ernstthal
    Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
  • E. Lunzenau
    Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.