Triple

T5355914
Position Surface form Disambiguated ID Type / Status
Subject Kožlany E102690 entity
Predicate hasISO3166-1Alpha2CountryCode P19525 FINISHED
Object CZ 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: CZ | Statement: [Kožlany, hasISO3166-1Alpha2CountryCode, CZ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISO3166-1Alpha2CountryCode
Context triple: [Kožlany, hasISO3166-1Alpha2CountryCode, CZ]
  • A. hasISO3166-1NumericCode
    Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
  • B. hasISO3166Alpha3Code
    Indicates that an entity is associated with a specific three-letter country code defined by the ISO 3166-1 alpha-3 standard.
  • C. ISO3166-1Code chosen
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • D. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • E. ISO3166-2RegionCode
    Indicates the standardized ISO 3166-2 code that specifies the particular primary administrative subdivision (such as a state, province, or region) to which an entity belongs.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.