Triple

T16460340
Position Surface form Disambiguated ID Type / Status
Subject Belp E399788 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wichtrach E491004 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: Wichtrach | Statement: [Belp, hasNeighboringMunicipality, Wichtrach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wichtrach
Context triple: [Belp, hasNeighboringMunicipality, Wichtrach]
  • A. Wichtrach chosen
    Wichtrach is a municipality in the canton of Bern in Switzerland, situated in the Aare valley between the cities of Bern and Thun.
  • B. Zernien
    Zernien is a municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue.
  • C. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • D. Stauchitz
    Stauchitz is a small municipality in the Free State of Saxony in eastern Germany, known for its rural character and location within the historic Meissen region.
  • E. Karwia
    Karwia is a seaside village on the Baltic coast of northern Poland, known for its wide sandy beaches and role as a popular summer resort.
  • 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_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.