Triple

T6482055
Position Surface form Disambiguated ID Type / Status
Subject BDF E146417 entity
Predicate uses P98 FINISHED
Object Bahraini dinar E92656 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: Bahraini dinar | Statement: [BDF, uses, Bahraini dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahraini dinar
Context triple: [BDF, uses, Bahraini dinar]
  • A. Bahraini dinar chosen
    The Bahraini dinar is the official currency of Bahrain, known for having one of the highest exchange values in the world.
  • B. 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.
  • 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. Hejaz riyal
    The Hejaz riyal was the historical monetary unit used in the early 20th century in the Kingdom of Hejaz, in the western Arabian Peninsula.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6b2e9881908b715573e7ba7458 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653afb1148190a8683f24a553f64d completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.