Triple

T5839706
Position Surface form Disambiguated ID Type / Status
Subject MNT E129559 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: [MNT, ISOStandard, ISO 4217]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 4217
Context triple: [MNT, 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
    ISO 3166 is an international standard published by the International Organization for Standardization that defines globally recognized codes for the names of countries, dependent territories, and their principal subdivisions.
  • C. 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.
  • D. ISO 3166-3
    ISO 3166-3 is the part of the ISO 3166 standard that defines codes for countries and territories that have been removed from the current ISO 3166-1 list, providing their former country codes and their replacements.
  • E. ISO 10383 Market Identifier Code system
    The ISO 10383 Market Identifier Code system is an international standard that assigns unique alphanumeric codes to securities trading venues and related entities to facilitate clear and consistent identification in financial markets.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.