Triple

T1078273
Position Surface form Disambiguated ID Type / Status
Subject BO E23887 entity
Predicate codeSet P14765 FINISHED
Object ISO 3166-1 alpha-2 E3184 NE FINISHED

How this triple was built (3 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 3166-1 alpha-2 | Statement: [BO, codeSet, ISO 3166-1 alpha-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 3166-1 alpha-2
Context triple: [BO, codeSet, ISO 3166-1 alpha-2]
  • A. ISO 3166-1 chosen
    ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Country Code Names Supporting Organization
    The Country Code Names Supporting Organization is a policy-development body within ICANN that represents and coordinates the interests of country-code top-level domain (ccTLD) managers worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeSet
Context triple: [BO, codeSet, ISO 3166-1 alpha-2]
  • A. codeType
    Indicates the classification or category assigned to a particular code within a coding or encoding system.
  • B. codeFor
    Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
  • C. codeSpace
    Indicates the namespace or contextual scope within which a piece of code, identifier, or programming element is defined and interpreted.
  • D. relatedCodeSet chosen
    Indicates that one code set is associated with or connected to another code set in a meaningful or defined way.
  • E. numericCode
    Indicates that an entity is associated with a specific numerical identifier or classification code.
  • F. None of above.

Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b943b41481909b24050ca7e78971 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f2b76308190a843ccad1ef95f07 completed March 7, 2026, 7:40 p.m.
PD Predicate disambiguation batch_69a4b73ba8208190be7f3cef8c18689b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.