Triple

T16460286
Position Surface form Disambiguated ID Type / Status
Subject Kehrsatz E399787 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Belp E399788 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: Belp | Statement: [Kehrsatz, hasNeighboringMunicipality, Belp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belp
Context triple: [Kehrsatz, hasNeighboringMunicipality, Belp]
  • A. Belp chosen
    Belp is a municipality in the canton of Bern in Switzerland, situated near the city of Bern and known for hosting Bern Airport.
  • B. Torgler
    Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
  • C. Verduno
    Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
  • D. Zogno
    Zogno is a municipality in northern Italy situated in the Lombardy region’s Bergamo area, known for its location in the Brembana Valley and its surrounding Alpine foothills.
  • E. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • 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.