Triple

T2269550
Position Surface form Disambiguated ID Type / Status
Subject Hradec Králové Region E50624 entity
Predicate contains P35 FINISHED
Object Rychnov nad Kněžnou
Rychnov nad Kněžnou is a historic town in the northeastern Czech Republic known for its Renaissance chateau and location near the Orlické Mountains.
 E268250 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: Rychnov nad Kněžnou | Statement: [Hradec Králové Region, contains, Rychnov nad Kněžnou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rychnov nad Kněžnou
Context triple: [Hradec Králové Region, contains, Rychnov nad Kněžnou]
  • A. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • B. Benešov
    Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
  • C. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • D. Trutnov
    Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
  • E. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • 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: Rychnov nad Kněžnou
Triple: [Hradec Králové Region, contains, Rychnov nad Kněžnou]
Generated description
Rychnov nad Kněžnou is a historic town in the northeastern Czech Republic known for its Renaissance chateau and location near the Orlické Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rychnov nad Kněžnou
Target entity description: Rychnov nad Kněžnou is a historic town in the northeastern Czech Republic known for its Renaissance chateau and location near the Orlické Mountains.
  • A. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • B. Benešov
    Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
  • C. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • D. Trutnov
    Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
  • E. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bd376c8190a43decde599f62e6 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef08a105081908455f482c6b2a880 completed March 9, 2026, 4:08 p.m.
NEDg Description generation batch_69aef8380d24819092b6502117a8ed42 completed March 9, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69aef936b86c81908573ea73314fe6a9 completed March 9, 2026, 4:45 p.m.
Created at: March 4, 2026, 7:48 p.m.