Triple

T17480963
Position Surface form Disambiguated ID Type / Status
Subject Andermatt E425655 entity
Predicate nearMountain P31783 FINISHED
Object Nätschen 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: Nätschen | Statement: [Andermatt, nearMountain, Nätschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nätschen
Context triple: [Andermatt, nearMountain, Nätschen]
  • A. Nätschen chosen
    Nätschen is a Swiss alpine area above Andermatt known for its ski slopes, hiking trails, and panoramic views of the Ursern Valley.
  • B. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • C. Sachseln
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • D. Kiental
    Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
  • E. Oschwand
    Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.