Triple

T12138829
Position Surface form Disambiguated ID Type / Status
Subject Berounka E289129 entity
Predicate hasRightTributary P415 FINISHED
Object Střela
Střela is a river in the Czech Republic known for flowing through western Bohemia before joining the Berounka River.
E968213 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: Střela | Statement: [Berounka, hasRightTributary, Střela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Střela
Context triple: [Berounka, hasRightTributary, Střela]
  • A. Silberpfeile
    Silberpfeile is the German term commonly used to refer to the legendary "Silver Arrows" Grand Prix and Formula One racing cars of Mercedes-Benz (and later Auto Union) that dominated motor racing in the 1930s and 1950s.
  • B. Perestrelo
    Perestrelo is a Portuguese surname historically associated with a noble family involved in early Atlantic exploration and linked by marriage to Christopher Columbus.
  • C. Strelkovka
    Strelkovka is a rural locality in Russia best known as the birthplace of prominent Soviet military commander Georgy Zhukov.
  • D. Pisti
    Pisti is a common Hungarian diminutive form of the male given name István, similar to "Steve" for "Stephen" in English.
  • E. The Arrow
    The Arrow is the student-run newspaper of Southeast Missouri State University, covering campus news, events, and student life.
  • 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: Střela
Triple: [Berounka, hasRightTributary, Střela]
Generated description
Střela is a river in the Czech Republic known for flowing through western Bohemia before joining the Berounka River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Střela
Target entity description: Střela is a river in the Czech Republic known for flowing through western Bohemia before joining the Berounka River.
  • A. The Gun
    "The Gun" is a 1974 American made-for-television crime drama film directed by John Badham and starring Lee Grant.
  • B. Silberpfeile
    Silberpfeile is the German term commonly used to refer to the legendary "Silver Arrows" Grand Prix and Formula One racing cars of Mercedes-Benz (and later Auto Union) that dominated motor racing in the 1930s and 1950s.
  • C. Perestrelo
    Perestrelo is a Portuguese surname historically associated with a noble family involved in early Atlantic exploration and linked by marriage to Christopher Columbus.
  • D. Strelkovka
    Strelkovka is a rural locality in Russia best known as the birthplace of prominent Soviet military commander Georgy Zhukov.
  • E. Pisti
    Pisti is a common Hungarian diminutive form of the male given name István, similar to "Steve" for "Stephen" in English.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:49 p.m.