Triple

T1212034
Position Surface form Disambiguated ID Type / Status
Subject Dhaka E26021 entity
Predicate currency P245 FINISHED
Object Bangladeshi taka E84306 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: Bangladeshi taka | Statement: [Dhaka, currency, Bangladeshi taka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladeshi taka
Context triple: [Dhaka, currency, Bangladeshi taka]
  • A. Bangladeshi taka chosen
    The Bangladeshi taka is the official monetary unit of Bangladesh, used for all domestic financial transactions and issued by the country's central bank.
  • B. Brunei dollar
    The Brunei dollar is the official currency of Brunei Darussalam, issued by the Autoriti Monetari Brunei Darussalam and maintained at parity with the Singapore dollar under a longstanding currency interchangeability agreement.
  • C. Nepalese rupee
    The Nepalese rupee is the official monetary unit of Nepal, issued by the Nepal Rastra Bank and commonly used for all financial transactions in the country.
  • D. Myanmar kyat
    The Myanmar kyat is the official monetary unit of Myanmar, used for everyday transactions and economic activities throughout the country.
  • E. Straits dollar
    The Straits dollar was a historical currency used in British-controlled territories in Southeast Asia, including parts of present-day Malaysia and Singapore, during the late 19th and early 20th centuries.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bde581308190bbe30683bf6c48c3 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f43a12c8190a1ba90eefafd6bbc completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.