Triple

T905122
Position Surface form Disambiguated ID Type / Status
Subject Plzeň E19529 entity
Predicate locatedOnRiver P165 FINISHED
Object Úslava
Úslava is a river in the western Czech Republic that flows through the city of Plzeň and forms part of its local river system.
 E106751 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: Úslava | Statement: [Plzeň, locatedOnRiver, Úslava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Úslava
Context triple: [Plzeň, locatedOnRiver, Úslava]
  • A. Ohře
    The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • B. Juché
    Juché is an alternative spelling of Juche, the North Korean state ideology centered on self-reliance and the absolute leadership of the Kim dynasty.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • E. Svobodny
    Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
  • 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: Úslava
Triple: [Plzeň, locatedOnRiver, Úslava]
Generated description
Úslava is a river in the western Czech Republic that flows through the city of Plzeň and forms part of its local river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Úslava
Target entity description: Úslava is a river in the western Czech Republic that flows through the city of Plzeň and forms part of its local river system.
  • A. Ohře
    The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • B. Juché
    Juché is an alternative spelling of Juche, the North Korean state ideology centered on self-reliance and the absolute leadership of the Kim dynasty.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • E. Svobodny
    Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7391e6c8190836e8d7e7fdf9c93 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c78ba0008190bf884de7f89b4655 completed March 4, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8991e7c81908c31d60f9a7f2340 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.