Triple

T2800857
Position Surface form Disambiguated ID Type / Status
Subject Hussite movement E53149 entity
Predicate significantPlace P1098 FINISHED
Object Kutná Hora E231914 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: Kutná Hora | Statement: [Hussite movement, significantPlace, Kutná Hora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutná Hora
Context triple: [Hussite movement, significantPlace, Kutná Hora]
  • A. Kutná Hora chosen
    Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
  • B. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • C. Rokycany
    Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
  • D. Klatovy
    Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
  • E. Nymburk
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf4ca9c8190a4adfd1c1373af41 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2032ecb7481908801a4896c166203 completed March 12, 2026, 12:05 a.m.
Created at: March 6, 2026, 9:58 p.m.