Triple

T8831561
Position Surface form Disambiguated ID Type / Status
Subject Jiráskovo náměstí E210156 entity
Predicate namedAfter P63 FINISHED
Object Alois Jirásek E359233 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: Alois Jirásek | Statement: [Jiráskovo náměstí, namedAfter, Alois Jirásek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alois Jirásek
Context triple: [Jiráskovo náměstí, namedAfter, Alois Jirásek]
  • A. Alois Jirásek chosen
    Alois Jirásek was a prominent Czech writer and playwright best known for his historical novels that helped shape modern Czech national identity.
  • B. Karel Škorpil
    Karel Škorpil was a Czech-Bulgarian archaeologist and historian regarded as a pioneer of Bulgarian archaeology and the systematic study of the country’s ancient heritage.
  • C. Karel Kramář
    Karel Kramář was a Czech politician and statesman who played a key role in the creation of Czechoslovakia and became its first prime minister after World War I.
  • D. Vitezslav Lavicka
    Vitezslav Lavicka is a Czech football manager and former player best known for coaching clubs such as Sydney FC and Sparta Prague.
  • E. Jan Stráský
    Jan Stráský was a Czech politician who served in top governmental roles during the final years of Czechoslovakia and later in the Czech Republic.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ed2b88190b4f53b34b5a438f7 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02f6e221081909a8a83f2e465b1c2 completed April 3, 2026, 9:21 p.m.
Created at: March 30, 2026, 6:47 p.m.