Triple

T1405817
Position Surface form Disambiguated ID Type / Status
Subject THA E31688 entity
Predicate hasCurrency P245 FINISHED
Object Thai baht E5137 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: Thai baht | Statement: [THA, hasCurrency, Thai baht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai baht
Context triple: [THA, hasCurrency, Thai baht]
  • A. Thai baht chosen
    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.
  • B. 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.
  • C. Cambodian riel
    The Cambodian riel is the official national currency of Cambodia, used alongside the US dollar in everyday transactions.
  • D. 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.
  • E. Myanmar kyat
    The Myanmar kyat is the official monetary unit of Myanmar, used for everyday transactions and economic activities throughout the country.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bc55a08190a4dfe13a5378aff3 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.