Triple

T5371554
Position Surface form Disambiguated ID Type / Status
Subject Farwaniya E108860 entity
Predicate currencyUsed P188 FINISHED
Object Kuwaiti dinar E70698 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: Kuwaiti dinar | Statement: [Farwaniya, currencyUsed, Kuwaiti dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuwaiti dinar
Context triple: [Farwaniya, currencyUsed, Kuwaiti dinar]
  • A. Kuwaiti dinar chosen
    The Kuwaiti dinar is the official currency of Kuwait and is known for having one of the highest exchange values in the world.
  • B. Bahraini dinar
    The Bahraini dinar is the official currency of Bahrain, known for having one of the highest exchange values in the world.
  • C. Qatari dirham
    The Qatari dirham is a fractional monetary unit used as a subunit of Qatar’s national currency.
  • D. Qatari riyal
    The Qatari riyal is the official national currency of Qatar, issued by the Qatar Central Bank and commonly used in all financial transactions throughout the country.
  • E. Jordanian dinar
    The Jordanian dinar is the official currency of Jordan and one of the region’s more stable and widely used Middle Eastern currencies.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334ac2548190ad672943ac138373 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.