Triple

T17135832
Position Surface form Disambiguated ID Type / Status
Subject Lány Castle E415832 entity
Predicate notableResident P1092 FINISHED
Object Miloš Zeman E1254034 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: Miloš Zeman | Statement: [Lány Castle, notableResident, Miloš Zeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miloš Zeman
Context triple: [Lány Castle, notableResident, Miloš Zeman]
  • A. Miloš Zeman chosen
    Miloš Zeman is a Czech politician who served as the President of the Czech Republic from 2013 to 2023 and previously as the country’s Prime Minister.
  • B. Radek Duda
    Radek Duda is a Czech professional ice hockey player known for his long career as a forward in the Czech Extraliga and various European leagues.
  • C. Pavel Baudiš
    Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
  • D. Petr Pavel
    Petr Pavel is a Czech politician and retired army general who serves as the President of the Czech Republic.
  • E. Václav Klaus
    Václav Klaus is a Czech economist and conservative politician who served as both Prime Minister and later President of 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2cf1c588190986167adcf4851b5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016743eb688190bdb5d85ed144ca1d completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:36 a.m.