Triple

T2768588
Position Surface form Disambiguated ID Type / Status
Subject Katya E61396 entity
Predicate hasVariant P455 FINISHED
Object Katia (transliteration) E135587 NE 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: Katia (transliteration) | Statement: [Katya, hasVariant, Katia (transliteration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katia (transliteration)
Context triple: [Katya, hasVariant, Katia (transliteration)]
  • A. Katia chosen
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • B. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • C. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • D. Katya
    Katya is a diminutive and affectionate form of the given name Catherine, commonly used in Slavic and other European cultures.
  • E. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.