Triple

T17367906
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Ausserberg NE NERFINISHED

How this triple was built (3 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: Ausserberg | Statement: [Visp District, contains, Ausserberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ausserberg
Context triple: [Visp District, contains, Ausserberg]
  • A. Allersberg
    Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • B. Habach
    Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
  • C. Kohnstein
    Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
  • D. Eibenberg
    Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
  • E. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ausserberg
Target entity description: Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • A. Allersberg
    Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • B. Habach
    Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
  • C. Kohnstein
    Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
  • D. Eibenberg
    Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
  • E. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • F. None of above. chosen

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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.