Triple

T12698591
Position Surface form Disambiguated ID Type / Status
Subject Samawah E303398 entity
Predicate usesCurrency P188 FINISHED
Object Iraqi dinar E37766 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: Iraqi dinar | Statement: [Samawah, usesCurrency, Iraqi dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iraqi dinar
Context triple: [Samawah, usesCurrency, Iraqi dinar]
  • A. Iraqi dinar chosen
    The Iraqi dinar is the official fiat currency of Iraq, issued by the Central Bank of Iraq and subdivided into 1,000 fils.
  • B. Iraqi rupee
    The Iraqi rupee was the former currency of Iraq during the period of British administration in the early 20th century, before being succeeded by the Iraqi dinar.
  • C. Kuwaiti dinar
    The Kuwaiti dinar is the official currency of Kuwait and is known for having one of the highest exchange values in the world.
  • D. Bahraini dinar
    The Bahraini dinar is the official currency of Bahrain, known for having one of the highest exchange values in the world.
  • E. 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.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.