Triple

T14282557
Position Surface form Disambiguated ID Type / Status
Subject Wakema E354085 entity
Predicate usesCurrency P188 FINISHED
Object Myanmar kyat E82023 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: Myanmar kyat | Statement: [Wakema, usesCurrency, Myanmar kyat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myanmar kyat
Context triple: [Wakema, usesCurrency, Myanmar kyat]
  • A. Myanmar kyat chosen
    The Myanmar kyat is the official monetary unit of Myanmar, used for everyday transactions and economic activities throughout the country.
  • B. Burmese rupee
    The Burmese rupee was the former currency of Burma (now Myanmar) used during the British colonial and early independence periods before being succeeded by the kyat.
  • C. Thai baht
    The Thai baht is the official currency of Thailand, notable for its central role in triggering the 1997 Asian financial crisis after a sharp devaluation.
  • D. Bangladeshi taka
    The Bangladeshi taka is the official monetary unit of Bangladesh, used for all domestic financial transactions and issued by the country's central bank.
  • E. Malaysian ringgit
    The Malaysian ringgit is the official currency of Malaysia, known for having been heavily affected by and subsequently managed through capital controls during the Asian financial crisis of 1997–1998.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3272c11c819091b1ffbfa1ee7457 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.