Triple

T16117523
Position Surface form Disambiguated ID Type / Status
Subject villa of Edvard Beneš E391042 entity
Predicate locatedIn P40 FINISHED
Object Sezimovo Ústí E88618 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: Sezimovo Ústí | Statement: [villa of Edvard Beneš, locatedIn, Sezimovo Ústí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sezimovo Ústí
Context triple: [villa of Edvard Beneš, locatedIn, Sezimovo Ústí]
  • A. Sezimovo Ústí chosen
    Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. Kamenice
    Kamenice is a river flowing through the scenic sandstone gorges and forests of Bohemian Switzerland in the Czech Republic.
  • D. Malé Poříčí
    Malé Poříčí is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Moravice
    Moravice is a river in the northern part of the historical Moravia region 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016c10a081909b2d23ecea153a9c completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeef277481908ab35bbff06c827a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5 a.m.