Triple

T20466105
Position Surface form Disambiguated ID Type / Status
Subject Tamsweg District E502052 entity
Predicate hasSettlement P1068 FINISHED
Object Hintermuhr 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: Hintermuhr | Statement: [Tamsweg District, hasSettlement, Hintermuhr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hintermuhr
Context triple: [Tamsweg District, hasSettlement, Hintermuhr]
  • A. Muhr chosen
    Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
  • B. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Burgäschi
    Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
  • E. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696aa0794819082c9989b1f7e9f37 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.