Triple

T23392488
Position Surface form Disambiguated ID Type / Status
Subject Volozhin E594055 entity
Predicate hasAlternativeName P39 FINISHED
Object Valozhyn
Valozhyn is a historic town in western Belarus known for its former Jewish community and as a center of religious and cultural life in the region.
E1584546 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: Valozhyn | Statement: [Volozhin, hasAlternativeName, Valozhyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valozhyn
Context triple: [Volozhin, hasAlternativeName, Valozhyn]
  • A. Nesvizh
    Nesvizh is a historic town in Belarus renowned for the UNESCO-listed Nesvizh Castle, a former Radziwiłł family residence and one of the country’s most important architectural and cultural landmarks.
  • B. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • C. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • D. Lokhvytsia
    Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
  • E. Volkovysk
    Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
  • 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: Valozhyn
Triple: [Volozhin, hasAlternativeName, Valozhyn]
Generated description
Valozhyn is a historic town in western Belarus known for its former Jewish community and as a center of religious and cultural life in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valozhyn
Target entity description: Valozhyn is a historic town in western Belarus known for its former Jewish community and as a center of religious and cultural life in the region.
  • A. Nesvizh
    Nesvizh is a historic town in Belarus renowned for the UNESCO-listed Nesvizh Castle, a former Radziwiłł family residence and one of the country’s most important architectural and cultural landmarks.
  • B. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • C. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • D. Lokhvytsia
    Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
  • E. Volkovysk
    Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49df4308190ab4ab31310af81ed completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dec070c81908e86b1c7fc50fc83 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c62311ff48190b740bba58180f100 completed May 19, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0c62d82f908190acbe1fec58288df9 completed May 19, 2026, 1:17 p.m.
Created at: April 17, 2026, 5:36 p.m.