Triple

T20143709
Position Surface form Disambiguated ID Type / Status
Subject ID E491241 entity
Predicate alpha3Equivalent P43262 FINISHED
Object IDN LITERAL 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: IDN | Statement: [ID, alpha3Equivalent, IDN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alpha3Equivalent
Context triple: [ID, alpha3Equivalent, IDN]
  • A. hasISO4217ThreeLetterCode
    Indicates that an entity is associated with a specific three-letter currency code defined by the ISO 4217 standard.
  • B. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • C. ISO3166-1Code
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • D. ISO639-1Equivalent
    Indicates that two language identifiers are equivalent according to the ISO 639-1 two-letter language code standard.
  • E. hasISO3166Alpha3Code chosen
    Indicates that an entity is associated with a specific three-letter country code defined by the ISO 3166-1 alpha-3 standard.
  • F. None of above.

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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:33 p.m.