Triple

T4797640
Position Surface form Disambiguated ID Type / Status
Subject Úhlava E106750 entity
Predicate flowsThrough P225 FINISHED
Object Švihov
Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
E471492 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: Švihov | Statement: [Úhlava, flowsThrough, Švihov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Švihov
Context triple: [Úhlava, flowsThrough, Švihov]
  • A. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • B. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • C. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • D. Šamorín
    Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
  • 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: Švihov
Triple: [Úhlava, flowsThrough, Švihov]
Generated description
Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Švihov
Target entity description: Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
  • A. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • B. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • C. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • D. Šamorín
    Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e764b60819097aace8e7321dc0c completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4ef501e081908a75547e9bb52c0c completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:22 p.m.