Triple

T15475191
Position Surface form Disambiguated ID Type / Status
Subject rigsdaler E376765 entity
Predicate relatedCurrency P245 FINISHED
Object rixdollar E10173 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: rixdollar | Statement: [rigsdaler, relatedCurrency, rixdollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rixdollar
Context triple: [rigsdaler, relatedCurrency, rixdollar]
  • A. Doller
    The Doller is a river in northeastern France that flows through the Alsace region and joins the Ill near Mulhouse.
  • B. Cape rixdollar chosen
    The Cape rixdollar was a historical monetary unit used in the Dutch and later British-controlled Cape Colony in what is now South Africa.
  • C. Raha
    Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
  • D. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • E. Dollars
    Dollars is an anonymous, internet-based colorless gang in the light novel and anime series Durarara!!, known for its loose, decentralized membership and significant influence on the events in Ikebukuro.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.