Triple

T8932192
Position Surface form Disambiguated ID Type / Status
Subject LRD E212682 entity
Predicate representsCurrency P245 FINISHED
Object Liberian dollar E37772 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: Liberian dollar | Statement: [LRD, representsCurrency, Liberian dollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberian dollar
Context triple: [LRD, representsCurrency, Liberian dollar]
  • A. Liberian dollar chosen
    The Liberian dollar is the official monetary unit of Liberia, used alongside the U.S. dollar in the country’s dual-currency economy.
  • B. South Sudanese pound
    The South Sudanese pound is the official legal tender of South Sudan, introduced after the country’s independence to replace the Sudanese pound.
  • C. Ghanaian cedi
    The Ghanaian cedi is the official national currency of Ghana, used for everyday transactions and monetary policy in the country.
  • D. São Tomé and Príncipe escudo
    The São Tomé and Príncipe escudo was the former official currency of São Tomé and Príncipe used prior to the adoption of the dobra.
  • E. Bahamian dollar
    The Bahamian dollar is the official currency of The Bahamas, pegged to the U.S. dollar and used throughout the archipelago for everyday transactions and tourism.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba64dadc8190aea6f7528acab37a completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.