Triple

T4797645
Position Surface form Disambiguated ID Type / Status
Subject Úhlava E106750 entity
Predicate hasTributary P415 FINISHED
Object Javorná
Javorná is a small river in the Czech Republic that serves as a tributary of the Úhlava River.
 E478280 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: Javorná | Statement: [Úhlava, hasTributary, Javorná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Javorná
Context triple: [Úhlava, hasTributary, Javorná]
  • A. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • B. Běloves
    Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • C. Orava
    Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
  • D. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • E. 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.
  • 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: Javorná
Triple: [Úhlava, hasTributary, Javorná]
Generated description
Javorná is a small river in the Czech Republic that serves as a tributary of the Úhlava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Javorná
Target entity description: Javorná is a small river in the Czech Republic that serves as a tributary of the Úhlava River.
  • A. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • B. Běloves
    Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • C. Orava
    Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
  • D. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • E. 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.
  • 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_69be6f9ee7e481909e1ff78764d0b67d completed March 21, 2026, 10:14 a.m.
NEDg Description generation batch_69be707405008190ba1456544e8da593 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70e5537c8190b4db230932818a9c completed March 21, 2026, 10:20 a.m.
Created at: March 20, 2026, 1:22 p.m.