Triple

T4318082
Position Surface form Disambiguated ID Type / Status
Subject ODS E96441 entity
Predicate hasPrimeMinister P8665 FINISHED
Object Václav Klaus E96442 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: Václav Klaus | Statement: [ODS, hasPrimeMinister, Václav Klaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Václav Klaus
Context triple: [ODS, hasPrimeMinister, Václav Klaus]
  • A. Václav Klaus chosen
    Václav Klaus is a Czech economist and conservative politician who served as both Prime Minister and later President of the Czech Republic.
  • B. Petr Pavel
    Petr Pavel is a Czech politician and retired army general who serves as the President of the Czech Republic.
  • C. Mikuláš Dzurinda
    Mikuláš Dzurinda is a Slovak politician who served as Prime Minister of Slovakia from 1998 to 2006 and played a key role in the country’s integration into NATO and the European Union.
  • D. Jiří Novotný
    Jiří Novotný is a Czech professional ice hockey center known for his NHL career and international play for the Czech national team.
  • E. Edvard Beneš
    Edvard Beneš was a prominent Czech statesman who served as the second President of Czechoslovakia and a key leader in the country’s resistance and diplomacy during both World Wars.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f883c88190a2d72f7d124eef43 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4ef0ca881908d9811183adc26c4 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:12 p.m.