Triple

T20466090
Position Surface form Disambiguated ID Type / Status
Subject Tamsweg District E502052 entity
Predicate hasSettlement P1068 FINISHED
Object Mauterndorf 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: Mauterndorf | Statement: [Tamsweg District, hasSettlement, Mauterndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauterndorf
Context triple: [Tamsweg District, hasSettlement, Mauterndorf]
  • A. Mauterndorf chosen
    Mauterndorf is a historic market town in the Austrian state of Salzburg, known for its well-preserved medieval castle and alpine setting in the Lungau region.
  • B. Maffersdorf
    Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
  • C. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • D. Habstetten
    Habstetten is a village and locality within the municipality of Bolligen in the canton of Bern, Switzerland.
  • E. Mallnitz
    Mallnitz is an Austrian alpine village and municipality in the state of Carinthia, known as a gateway to the Hohe Tauern National Park and a popular destination for hiking and winter sports.
  • 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.