Triple

T17643189
Position Surface form Disambiguated ID Type / Status
Subject Destruction of Ležáky E429289 entity
Predicate locatedIn P40 FINISHED
Object Ležáky NE NERFINISHED

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: Ležáky | Statement: [Destruction of Ležáky, locatedIn, Ležáky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ležáky
Context triple: [Destruction of Ležáky, locatedIn, Ležáky]
  • A. Ležáky chosen
    Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
  • B. Ladomírka
    Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
  • C. Hrádeček
    Hrádeček is a small rural settlement in the Czech Republic best known as the longtime country residence and retreat of playwright and former president Václav Havel, where he also died.
  • D. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.