Triple

T16255953
Position Surface form Disambiguated ID Type / Status
Subject Rolava E394626 entity
Predicate hasTributary P415 FINISHED
Object Tisová
Tisová is a small settlement in the Karlovy Vary Region of the Czech Republic, known for its location near the Rolava River and the Ore Mountains.
E1202536 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: Tisová | Statement: [Rolava, hasTributary, Tisová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tisová
Context triple: [Rolava, hasTributary, Tisová]
  • A. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • B. Jindřišská
    Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
  • C. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • D. Tisler
    Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
  • E. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • 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: Tisová
Triple: [Rolava, hasTributary, Tisová]
Generated description
Tisová is a small settlement in the Karlovy Vary Region of the Czech Republic, known for its location near the Rolava River and the Ore Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tisová
Target entity description: Tisová is a small settlement in the Karlovy Vary Region of the Czech Republic, known for its location near the Rolava River and the Ore Mountains.
  • A. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • B. Jindřišská
    Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
  • C. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • D. Tisler
    Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
  • E. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011995ff481908bbca9f9cfb41bf0 completed May 10, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0012669ff48190884367b92962a6d4 completed May 10, 2026, 5:06 a.m.
Created at: April 10, 2026, 5:04 a.m.