Triple

T27122715
Position Surface form Disambiguated ID Type / Status
Subject Karel Schwarzenberg E687044 entity
Predicate wasPresidentialRunoffCandidate P86268 FINISHED
Object 2013 Czech presidential election LITERAL 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: 2013 Czech presidential election | Statement: [Karel Schwarzenberg, wasPresidentialRunoffCandidate, 2013 Czech presidential election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasPresidentialRunoffCandidate
Context triple: [Karel Schwarzenberg, wasPresidentialRunoffCandidate, 2013 Czech presidential election]
  • A. mainPresidentialRunoffCandidates chosen
    Indicates that the related entities are the primary candidates participating in a presidential election runoff.
  • B. presidentialRunoffRequired
    Indicates that a second-round (runoff) presidential election must be held because no candidate met the required conditions for outright victory in the first round.
  • C. ranPresidentialCandidate
    Indicates that the subject has been a candidate in a presidential election.
  • D. vicePresidentRunning
    Indicates that one entity is running for the position of vice president, typically as part of an election or political campaign.
  • E. successorAsPresidentElectOpponent
    Indicates that one person became the next presidential candidate (president-elect) opposing the same party or candidate that another person had previously opposed.
  • F. None of above.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f624454be48190908449be1be4d1a4 completed May 2, 2026, 4:20 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 9 a.m.