Triple

T31127910
Position Surface form Disambiguated ID Type / Status
Subject ROU E793409 entity
Predicate codeForCountryWithISO2 P49426 FINISHED
Object RO 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: RO | Statement: [ROU, codeForCountryWithISO2, RO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeForCountryWithISO2
Context triple: [ROU, codeForCountryWithISO2, RO]
  • A. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • B. iso3166CodeBasedOn chosen
    Indicates that one code or designation is derived from, corresponds to, or is assigned on the basis of a specific ISO 3166 country or region code.
  • C. continentCode
    Indicates the standardized code assigned to the continent with which an entity is associated.
  • D. ISOCodeContext
    Indicates the contextual framework or domain within which a particular ISO code is defined, interpreted, or applied.
  • E. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • 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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c234d648190a243fb2b107136a9 completed May 3, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69f69665cd9c819088c388fc82fec42e completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:05 p.m.