Triple

T8090245
Position Surface form Disambiguated ID Type / Status
Subject Pardubice Region E188838 entity
Predicate hasRiver P165 FINISHED
Object Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
 E713448 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: Chrudimka | Statement: [Pardubice Region, hasRiver, Chrudimka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chrudimka
Context triple: [Pardubice Region, hasRiver, Chrudimka]
  • A. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • B. Čičmany
    Čičmany is a Slovak village famous for its distinctive wooden houses decorated with traditional white geometric folk patterns, making it a popular cultural and architectural attraction.
  • C. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • 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: Chrudimka
Triple: [Pardubice Region, hasRiver, Chrudimka]
Generated description
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chrudimka
Target entity description: Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • A. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • B. Čičmany
    Čičmany is a Slovak village famous for its distinctive wooden houses decorated with traditional white geometric folk patterns, making it a popular cultural and architectural attraction.
  • C. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93ff6a108190ac60218ec2716c60 completed April 1, 2026, 3:41 a.m.
NEDg Description generation batch_69cc9557c6148190a759021b6add0a61 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc96a8bb688190a352de1798b380f1 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:29 p.m.