Triple

T22496828
Position Surface form Disambiguated ID Type / Status
Subject Matthew E556162 entity
Predicate equivalentNameInLanguage P63334 FINISHED
Object Matúš (Czech variant Matouš) NE NERFINISHED

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: Matúš (Czech variant Matouš) | Statement: [Matthew, equivalentNameInLanguage, Matúš (Czech variant Matouš)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matúš (Czech variant Matouš)
Context triple: [Matthew, equivalentNameInLanguage, Matúš (Czech variant Matouš)]
  • A. Matúš chosen
    Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking communities.
  • B. Matyáš
    Matyáš is the given name of Jindřich Matyáš Thurn, a notable Bohemian nobleman and military leader of the early 17th century.
  • C. Matej
    Matej is a masculine given name commonly used in Slavic countries, equivalent to Matthew in English.
  • D. Most Mánesův (Czech)
    Most Mánesův is a historic road bridge over the Vltava River in central Prague, connecting the Old Town with the Lesser Town near key cultural and architectural landmarks.
  • E. Lukáš
    Lukáš is a common Czech and Slovak male given name, equivalent to Lucas or Luke in English.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb2644c819094864bd88bcebcbd completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.