Triple

T630477
Position Surface form Disambiguated ID Type / Status
Subject Bhutan E15914 entity
Predicate currency P245 FINISHED
Object Indian rupee E5057 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: Indian rupee | Statement: [Bhutan, currency, Indian rupee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian rupee
Context triple: [Bhutan, currency, Indian rupee]
  • A. Indian rupee chosen
    The Indian rupee is the official monetary unit of India, issued and regulated by the Reserve Bank of India and widely used in the country’s domestic and international economic transactions.
  • B. 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.
  • C. Singapore dollar
    The Singapore dollar is the official currency of Singapore, known for its stability, strong management by the Monetary Authority of Singapore, and significant role as a major trading and reserve currency in Asia.
  • D. Indonesian rupiah
    The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
  • E. Russian ruble
    The Russian ruble is the official monetary unit of the Russian Federation, used for everyday transactions, government finances, and international trade involving Russia.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4d84d8819095afbf0ee9c7bd82 completed March 2, 2026, 10:54 a.m.
Created at: March 1, 2026, 7:35 p.m.