Triple

T11759568
Position Surface form Disambiguated ID Type / Status
Subject Westphalian frank E279616 entity
Predicate replacedCurrency P2867 FINISHED
Object Thaler E223133 NE FINISHED

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: Thaler | Statement: [Westphalian frank, replacedCurrency, Thaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thaler
Context triple: [Westphalian frank, replacedCurrency, Thaler]
  • A. Thaler chosen
    The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
  • B. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • C. Laffer
    Laffer is a surname most prominently associated with Arthur Laffer, the American economist known for the Laffer curve concept in supply-side economics.
  • D. Blinder
    Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
  • E. Tobin
    Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5220f148190ae60d1941a579ab6 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.