Triple

T116270
Position Surface form Disambiguated ID Type / Status
Subject Australian dollar E2344 entity
Predicate ISOStandard P1587 FINISHED
Object ISO 4217 E10239 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: ISO 4217 | Statement: [Australian dollar, ISOStandard, ISO 4217]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 4217
Context triple: [Australian dollar, ISOStandard, ISO 4217]
  • A. ISO 4217 chosen
    ISO 4217 is the international standard that defines three-letter codes and related data for the representation of currencies and funds worldwide.
  • B. ISO 3166-1
    ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
  • C. ISO 3166 Maintenance Agency
    The ISO 3166 Maintenance Agency is the international body responsible for developing and updating the ISO 3166 standard that defines country codes and their subdivisions.
  • D. SWIFT
    SWIFT is a global financial messaging network that enables secure, standardized communication and transaction instructions between banks and other financial institutions worldwide.
  • E. ISO 3166-1 numeric
    ISO 3166-1 numeric is the part of the ISO 3166 standard that assigns three-digit numeric country codes used internationally for data processing and classification.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25b800d08819099a44429d5c82c68 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a285012e5881909b19f6c49a2373e1 completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.