Triple

T19878677
Position Surface form Disambiguated ID Type / Status
Subject Reichsthaler E477706 entity
Predicate hasVariant P455 FINISHED
Object Bankothaler 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: Bankothaler | Statement: [Reichsthaler, hasVariant, Bankothaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bankothaler
Context triple: [Reichsthaler, hasVariant, Bankothaler]
  • A. Müntschemier
    Müntschemier is a small municipality in the canton of Bern in Switzerland, known for its agricultural character within the Seeland region.
  • B. The Ruppes
    The Ruppes are a Southern gospel music trio known for their tight family harmonies and inspirational Christian songs.
  • C. Maria Theresa thaler chosen
    The Maria Theresa thaler is a historic silver trade coin first minted in the 18th century that became a widely accepted currency across the Middle East, Africa, and Europe.
  • D. Genevan thaler
    The Genevan thaler was a historical silver coin used as the principal monetary unit of the Republic of Geneva before the adoption of modern Swiss currency.
  • E. Lingotto
    Lingotto is a district in Turin, Italy, best known for its former Fiat automobile factory complex, now a major multi-purpose center with shopping, conference, and cultural facilities.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dd869c81908aed91ee767f5f3d completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.