Triple

T14345864
Position Surface form Disambiguated ID Type / Status
Subject Ludvík E355717 entity
Predicate variantSpelling P457 FINISHED
Object Ludvik E355717 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: Ludvik | Statement: [Ludvík, variantSpelling, Ludvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludvik
Context triple: [Ludvík, variantSpelling, Ludvik]
  • A. Ludvík chosen
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • B. Gustáv
    Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Ottokar
    Ottokar is a Germanic given name, historically borne by several Central European nobles and rulers, particularly in Austria and Bohemia.
  • D. Oldřich
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • E. Vratislav
    Vratislav is a historical Slavic personal name, borne by several medieval rulers and nobles in Central Europe, particularly in the Czech lands.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967e9c208190a00a82122b8c884c completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:14 a.m.