Triple

T245727
Position Surface form Disambiguated ID Type / Status
Subject Thailand E5032 entity
Predicate currency 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: [Thailand, currency, Thai baht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai baht
Context triple: [Thailand, currency, 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. Indonesian rupiah
    The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
  • D. Philippine peso
    The Philippine peso is the official currency of the Philippines, issued by the Bangko Sentral ng Pilipinas and commonly denoted by the symbol ₱ and the code PHP.
  • E. Vietnamese đồng
    The Vietnamese đồng is the official fiat currency of Vietnam, known for its relatively low value per unit and frequent use of large denominations.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d128c0081909908825b302ae635 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.