Triple

T3798574
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Bourse E91632 entity
Predicate currency P245 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: [Bahrain Bourse, currency, Bahraini dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahraini dinar
Context triple: [Bahrain Bourse, currency, 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. Saudi riyal
    The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f061a9e481908d16ae0aa44e2f16 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.