Triple

T17717292
Position Surface form Disambiguated ID Type / Status
Subject Cheb District E442231 entity
Predicate contains P35 FINISHED
Object Třebeň
Třebeň is a small municipality and village in the Karlovy Vary Region of the Czech Republic.
E1310873 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: Třebeň | Statement: [Cheb District, contains, Třebeň]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Třebeň
Context triple: [Cheb District, contains, Třebeň]
  • A. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • B. Třeboň
    Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Cervenka
    Cervenka is the surname of Exene Cervenka, the American singer, artist, and co-founder of the influential Los Angeles punk band X.
  • E. Trstená
    Trstená is a small town in northern Slovakia near the Polish border, known for its proximity to the Orava Reservoir and the Orava region’s natural landscapes.
  • 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: Třebeň
Triple: [Cheb District, contains, Třebeň]
Generated description
Třebeň is a small municipality and village in the Karlovy Vary Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Třebeň
Target entity description: Třebeň is a small municipality and village in the Karlovy Vary Region of the Czech Republic.
  • A. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • B. Třeboň
    Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Cervenka
    Cervenka is the surname of Exene Cervenka, the American singer, artist, and co-founder of the influential Los Angeles punk band X.
  • E. Trstená
    Trstená is a small town in northern Slovakia near the Polish border, known for its proximity to the Orava Reservoir and the Orava region’s natural landscapes.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0397e9980c81908e143c78378a86c5 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398dd1d50819087d16ad6f09ef063 completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03998369648190ae2e84ba56827473 completed May 12, 2026, 9:20 p.m.
Created at: April 10, 2026, 10:06 a.m.