Triple

T19841125
Position Surface form Disambiguated ID Type / Status
Subject Kitzbühel District E476730 entity
Predicate contains P35 FINISHED
Object Westendorf 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: Westendorf | Statement: [Kitzbühel District, contains, Westendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westendorf
Context triple: [Kitzbühel District, contains, Westendorf]
  • A. Westendorf chosen
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • B. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • C. Allendorf
    Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.