Triple

T16460130
Position Surface form Disambiguated ID Type / Status
Subject Muri bei Bern E399784 entity
Predicate borderedBy P224 FINISHED
Object Vechigen E437440 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: Vechigen | Statement: [Muri bei Bern, borderedBy, Vechigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vechigen
Context triple: [Muri bei Bern, borderedBy, Vechigen]
  • A. Vechigen chosen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • B. Voitsberg
    Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
  • C. Vohenstrauß
    Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
  • D. Horgau
    Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
  • E. Irschenberg
    Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005817fa088190a0eb85016fe5afc4 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.