Triple

T2269555
Position Surface form Disambiguated ID Type / Status
Subject Hradec Králové Region E50624 entity
Predicate contains P35 FINISHED
Object Vrchlabí
Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
 E276135 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: Vrchlabí | Statement: [Hradec Králové Region, contains, Vrchlabí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vrchlabí
Context triple: [Hradec Králové Region, contains, Vrchlabí]
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Lysá nad Labem
    Lysá nad Labem is a small historic town in the Central Bohemian Region of the Czech Republic, situated on the Elbe River and known for its Baroque architecture and cultural heritage.
  • C. 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.
  • D. Dvůr Králové nad Labem
    Dvůr Králové nad Labem is a town in the Czech Republic best known for its large safari-style zoo and rich textile-industry history.
  • E. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • 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: Vrchlabí
Triple: [Hradec Králové Region, contains, Vrchlabí]
Generated description
Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vrchlabí
Target entity description: Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Lysá nad Labem
    Lysá nad Labem is a small historic town in the Central Bohemian Region of the Czech Republic, situated on the Elbe River and known for its Baroque architecture and cultural heritage.
  • C. 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.
  • D. Dvůr Králové nad Labem
    Dvůr Králové nad Labem is a town in the Czech Republic best known for its large safari-style zoo and rich textile-industry history.
  • E. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • 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_69af2b5d9b7c8190a3c87ffacc486512 completed March 9, 2026, 8:19 p.m.
NEDg Description generation batch_69af514d5e648190b4fbb1c1247d490d completed March 9, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69af5509ce1881909169a529b4f835eb completed March 9, 2026, 11:17 p.m.
Created at: March 4, 2026, 7:48 p.m.