Triple

T4797646
Position Surface form Disambiguated ID Type / Status
Subject Úhlava E106750 entity
Predicate hasTributary P415 FINISHED
Object Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
 E470897 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: Ostružná | Statement: [Úhlava, hasTributary, Ostružná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ostružná
Context triple: [Úhlava, hasTributary, Ostružná]
  • A. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • B. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • C. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • D. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • E. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • 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: Ostružná
Triple: [Úhlava, hasTributary, Ostružná]
Generated description
Ostružná is a 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: Ostružná
Target entity description: Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • A. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • B. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • C. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • D. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • E. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • 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_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be46516cd881909144adabbe271907 completed March 21, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69be47d4d26c8190a1a192dc12578f4f completed March 21, 2026, 7:25 a.m.
Created at: March 20, 2026, 1:22 p.m.