Triple

T2269553
Position Surface form Disambiguated ID Type / Status
Subject Hradec Králové Region E50624 entity
Predicate contains P35 FINISHED
Object Jaroměř
Jaroměř is a historic town in the northeastern Czech Republic known for its preserved architecture and proximity to the confluence of the Elbe and Metuje rivers.
 E251624 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: Jaroměř | Statement: [Hradec Králové Region, contains, Jaroměř]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jaroměř
Context triple: [Hradec Králové Region, contains, Jaroměř]
  • A. Jáchymov
    Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. 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.
  • D. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • E. Mělník
    Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
  • 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: Jaroměř
Triple: [Hradec Králové Region, contains, Jaroměř]
Generated description
Jaroměř is a historic town in the northeastern Czech Republic known for its preserved architecture and proximity to the confluence of the Elbe and Metuje rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jaroměř
Target entity description: Jaroměř is a historic town in the northeastern Czech Republic known for its preserved architecture and proximity to the confluence of the Elbe and Metuje rivers.
  • A. Jáchymov
    Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. 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.
  • D. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • E. Mělník
    Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
  • 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_69ae71d97a108190a26ffd20fac91a7e completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae73a4bdd08190bb9fff64ffdbeed6 completed March 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69ae776fdfb48190ae8731002c537458 completed March 9, 2026, 7:32 a.m.
Created at: March 4, 2026, 7:48 p.m.