Triple

T1156401
Position Surface form Disambiguated ID Type / Status
Subject Trzebinia E23791 entity
Predicate currency P245 FINISHED
Object Polish złoty E31673 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: Polish złoty | Statement: [Trzebinia, currency, Polish złoty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish złoty
Context triple: [Trzebinia, currency, Polish złoty]
  • A. Polish złoty chosen
    The Polish złoty is the official fiat currency of Poland, subdivided into 100 grosz and issued by the National Bank of Poland.
  • B. Polish marka
    The Polish marka was the paper currency used in Poland in the years immediately following World War I, before being replaced by the złoty.
  • C. Danzig gulden
    The Danzig gulden was the official monetary unit of the interwar Free City of Danzig, used primarily between World War I and World War II before the area’s incorporation into Poland.
  • D. Czech koruna
    The Czech koruna is the official fiat currency of the Czech Republic, used for everyday transactions and monetary policy in the country.
  • E. Ukrainian hryvnia
    The Ukrainian hryvnia is the national currency of Ukraine, introduced in 1996 to replace the karbovanets and stabilize the country’s post-Soviet economy.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc92ae008190a587c12ecc9a502a completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eba03f081908c8bf99e6369080a completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:44 p.m.