Triple

T3002688
Position Surface form Disambiguated ID Type / Status
Subject Al Rayyan E81825 entity
Predicate hasCurrency P245 FINISHED
Object Qatari riyal E68116 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: Qatari riyal | Statement: [Al Rayyan, hasCurrency, Qatari riyal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qatari riyal
Context triple: [Al Rayyan, hasCurrency, Qatari riyal]
  • A. Qatari riyal chosen
    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.
  • 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. Bahraini dinar
    The Bahraini dinar is the official currency of Bahrain, known for having one of the highest exchange values in the world.
  • D. 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.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e4f02248190890eb3944299bd15 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.