Triple

T10931679
Position Surface form Disambiguated ID Type / Status
Subject Rychnov nad Kněžnou District E258221 entity
Predicate contains P35 FINISHED
Object Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
 E909601 NE FINISHED

How this triple was built (4 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: Vamberk | Statement: [Rychnov nad Kněžnou District, contains, Vamberk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vamberk
Context triple: [Rychnov nad Kněžnou District, contains, Vamberk]
  • A. Hartberg
    Hartberg is a small historic town in southeastern Austria known for its medieval architecture, vineyards, and location in the Styrian hill country.
  • B. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • C. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • D. Oziersk
    Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vamberk
Triple: [Rychnov nad Kněžnou District, contains, Vamberk]
Generated description
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vamberk
Target entity description: Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
  • A. Hartberg
    Hartberg is a small historic town in southeastern Austria known for its medieval architecture, vineyards, and location in the Styrian hill country.
  • B. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • C. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • D. Oziersk
    Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • F. None of above. chosen

Provenance (5 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4830a903481909eaf327457eabf2b completed April 19, 2026, 7:23 a.m.
NEDg Description generation batch_69e485f46f0c81908dbe5b47322ab7b7 completed April 19, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_69e4878dd95c81908ceaf91ee46f49c1 completed April 19, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:23 p.m.