Triple

T22615377
Position Surface form Disambiguated ID Type / Status
Subject Xuan Loc E558129 entity
Predicate currency P245 FINISHED
Object Vietnamese đồng NE NERFINISHED

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: Vietnamese đồng | Statement: [Xuan Loc, currency, Vietnamese đồng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnamese đồng
Context triple: [Xuan Loc, currency, Vietnamese đồng]
  • A. Vietnamese đồng chosen
    The Vietnamese đồng is the official fiat currency of Vietnam, known for its relatively low value per unit and frequent use of large denominations.
  • B. South Vietnamese đồng
    The South Vietnamese đồng was the former official currency of South Vietnam, used until the country's reunification in 1975.
  • C. North Vietnamese đồng
    The North Vietnamese đồng was the former currency of North Vietnam used before the country’s monetary unification.
  • D. Cambodian riel
    The Cambodian riel is the official national currency of Cambodia, used alongside the US dollar in everyday transactions.
  • E. Indonesian rupiah
    The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167edec2481909c2f06607b3cb8f6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.