Triple

T388529
Position Surface form Disambiguated ID Type / Status
Subject Kazakhstani tenge E8829 entity
Predicate pluralForm P5088 FINISHED
Object tenge E8829 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: tenge | Statement: [Kazakhstani tenge, pluralForm, tenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tenge
Context triple: [Kazakhstani tenge, pluralForm, tenge]
  • A. Kazakhstani tenge chosen
    The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
  • 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. 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.
  • E. Straits dollar
    The Straits dollar was a historical currency used in British-controlled territories in Southeast Asia, including parts of present-day Malaysia and Singapore, during the late 19th and early 20th centuries.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5988708190aa86d9460cecf050 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40351d710819093a4a84e0263164c completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.