Triple

T17142839
Position Surface form Disambiguated ID Type / Status
Subject Baar, Switzerland E416012 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Menzingen 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: Menzingen | Statement: [Baar, Switzerland, hasNeighboringMunicipality, Menzingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menzingen
Context triple: [Baar, Switzerland, hasNeighboringMunicipality, Menzingen]
  • A. Menzingen chosen
    Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
  • B. Memmingen
    Memmingen is a historic town in the Bavarian region of Germany, known for its well-preserved medieval old town and role as a regional transport hub.
  • C. Münsingen
    Münsingen is a Swiss municipality in the canton of Bern, known for its scenic location in the Aare valley between Bern and Thun.
  • D. Mötzingen
    Mötzingen is a small municipality in the German state of Baden-Württemberg, located in the Böblingen region of southwestern Germany.
  • E. Gechingen
    Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
Created at: April 10, 2026, 5:36 a.m.