Triple

T17349528
Position Surface form Disambiguated ID Type / Status
Subject Moin E421769 entity
Predicate usesCurrency P188 FINISHED
Object Macedonian denar NE ONNED1

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: Macedonian denar | Statement: [Moin, usesCurrency, Macedonian denar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macedonian denar
Context triple: [Moin, usesCurrency, Macedonian denar]
  • A. Macedonian denar chosen
    The Macedonian denar is the official fiat currency used in North Macedonia for everyday transactions and monetary policy.
  • B. Yugoslav dinar
    The Yugoslav dinar was the former national currency of socialist and later federal Yugoslavia, known for multiple revaluations amid periods of high inflation before the country's breakup.
  • C. Serbian dinar
    The Serbian dinar is the official national currency of Serbia, used for everyday transactions and monetary policy.
  • D. Bosnian dinar
    The Bosnian dinar was the former currency of Bosnia and Herzegovina used during the 1990s before being succeeded by the Bosnia and Herzegovina convertible mark.
  • E. Bulgarian lev
    The Bulgarian lev is the official national currency of Bulgaria, subdivided into 100 stotinki and pegged to the euro through a currency board arrangement.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.