Triple

T1820381
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of Sudan E40525 entity
Predicate currencyIssued P6033 FINISHED
Object Sudanese pound E86907 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: Sudanese pound | Statement: [Central Bank of Sudan, currencyIssued, Sudanese pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudanese pound
Context triple: [Central Bank of Sudan, currencyIssued, Sudanese pound]
  • A. Sudanese pound chosen
    The Sudanese pound is the official monetary unit of Sudan, used for everyday transactions and economic activities within the country.
  • B. Egyptian pound
    The Egyptian pound is the official monetary unit of Egypt, used for everyday transactions, pricing, and financial operations throughout the country.
  • C. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • D. Aden shilling
    The Aden shilling was the official monetary unit used in the British-controlled Colony of Aden in the mid-20th century.
  • E. Mauritanian ouguiya
    The Mauritanian ouguiya is the official monetary unit of Mauritania, used for all everyday transactions and financial operations in the country.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662a13208190b4126d92c613760d completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.