Triple

T8947899
Position Surface form Disambiguated ID Type / Status
Subject Berezina E213267 entity
Predicate flowsThrough P225 FINISHED
Object Barysaw
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
E768443 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: Barysaw | Statement: [Berezina, flowsThrough, Barysaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barysaw
Context triple: [Berezina, flowsThrough, Barysaw]
  • A. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Dykhtau
    Dykhtau is one of the highest and most prominent peaks in the Caucasus Mountains, located in the Russian republic of Kabardino-Balkaria.
  • D. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • E. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • 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: Barysaw
Triple: [Berezina, flowsThrough, Barysaw]
Generated description
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barysaw
Target entity description: Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
  • A. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Dykhtau
    Dykhtau is one of the highest and most prominent peaks in the Caucasus Mountains, located in the Russian republic of Kabardino-Balkaria.
  • D. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • E. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.