Triple

T9603669
Position Surface form Disambiguated ID Type / Status
Subject Kutná Hora E231914 entity
Predicate originalName P65 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: [Kutná Hora, originalName, Kutná Hora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutná Hora
Context triple: [Kutná Hora, originalName, 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. Žatec
    Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
  • C. 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.
  • D. Chomutov
    Chomutov is a city in the northwest of the Czech Republic known for its industrial heritage and location near the Ore Mountains.
  • E. Rokycany
    Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5cddf481909aa6b589bcb3e71a completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9073c948190aa2e9e6b7ffe9022 completed April 12, 2026, 5:40 p.m.
Created at: March 30, 2026, 8:08 p.m.