Triple

T14897757
Position Surface form Disambiguated ID Type / Status
Subject Volkovysk E359922 entity
Predicate hasAlternativeName P39 FINISHED
Object Vawkavisk
Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
 E1125217 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: Vawkavisk | Statement: [Volkovysk, hasAlternativeName, Vawkavisk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vawkavisk
Context triple: [Volkovysk, hasAlternativeName, Vawkavisk]
  • A. Valkarkay
    Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
  • B. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • C. Paviotso
    Paviotso is another name for the Northern Paiute language, a Uto-Aztecan language traditionally spoken by the Northern Paiute people of the western United States.
  • D. Vaskina
    Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
  • E. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • 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: Vawkavisk
Triple: [Volkovysk, hasAlternativeName, Vawkavisk]
Generated description
Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vawkavisk
Target entity description: Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
  • A. Valkarkay
    Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
  • B. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • C. Paviotso
    Paviotso is another name for the Northern Paiute language, a Uto-Aztecan language traditionally spoken by the Northern Paiute people of the western United States.
  • D. Vaskina
    Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
  • E. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6966e88190a0ed475b22a77cf1 completed May 8, 2026, 11:02 p.m.
NEDg Description generation batch_69fe6d199298819081207e27dfdf485f completed May 8, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe6de49480819087b36c070c434bf7 completed May 8, 2026, 11:12 p.m.
Created at: April 10, 2026, 2:11 a.m.