Triple

T16630563
Position Surface form Disambiguated ID Type / Status
Subject SDG E404066 entity
Predicate associatedCurrencyName P98839 FINISHED
Object Sudanese pound E86907 NE FINISHED

How this triple was built (3 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: [SDG, associatedCurrencyName, Sudanese pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudanese pound
Context triple: [SDG, associatedCurrencyName, 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. Sudanese dinar
    The Sudanese dinar was the former currency of Sudan, used mainly in the 1990s and early 2000s before being replaced by a reintroduced Sudanese pound.
  • C. 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.
  • D. Egyptian pound
    The Egyptian pound is the official monetary unit of Egypt, used for everyday transactions, pricing, and financial operations throughout the country.
  • E. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedCurrencyName
Context triple: [SDG, associatedCurrencyName, Sudanese pound]
  • A. associatedCurrencyCode
    Indicates the currency code that is linked to or used in connection with the given entity or transaction.
  • B. currencyDepicted
    Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
  • C. currencyFamily
    Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
  • D. currencyType
    Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
  • E. currencyOfName chosen
    Indicates that one entity is the name (textual designation) of a particular currency associated with another entity.
  • F. None of above.

Provenance (4 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e5d4448190bfb1b6157bbe5285 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2d802881909abd846cc54f04fc completed May 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69e296ad3f148190af09223dc35b155c completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:17 a.m.