Triple

T14510417
Position Surface form Disambiguated ID Type / Status
Subject 2006 Asian Games E340380 entity
Predicate currencyOfHostCity P188 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: [2006 Asian Games, currencyOfHostCity, Qatari riyal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qatari riyal
Context triple: [2006 Asian Games, currencyOfHostCity, 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. Qatari dirham
    The Qatari dirham is a fractional monetary unit used as a subunit of Qatar’s national currency.
  • 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. 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.