Triple

T2288394
Position Surface form Disambiguated ID Type / Status
Subject .mt E51446 entity
Predicate ISO3166-1Alpha2CodeBasis P19525 FINISHED
Object MT 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: MT | Statement: [.mt, ISO3166-1Alpha2CodeBasis, MT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ISO3166-1Alpha2CodeBasis
Context triple: [.mt, ISO3166-1Alpha2CodeBasis, MT]
  • A. ISO3166-1Code chosen
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • B. isTwoLetterCode
    Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
  • C. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • D. linkedToISO3166-2CodesOf
    Indicates a relationship where an entity is associated with, or mapped to, specific ISO 3166-2 subdivision codes that represent its corresponding administrative regions.
  • E. hasISO3166-1NumericCode
    Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2497ce881909b05eb9cec67d9e7 completed March 7, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69abbdbb9e4c819085fc588626ec7c09 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.