Triple

T10169822
Position Surface form Disambiguated ID Type / Status
Subject Voronezh Oblast E235300 entity
Predicate containsCity P294 FINISHED
Object Borisoglebsk
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
 E872664 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: Borisoglebsk | Statement: [Voronezh Oblast, containsCity, Borisoglebsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borisoglebsk
Context triple: [Voronezh Oblast, containsCity, Borisoglebsk]
  • A. Borovsk
    Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
  • B. Belozersk
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • C. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • D. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • E. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • 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: Borisoglebsk
Triple: [Voronezh Oblast, containsCity, Borisoglebsk]
Generated description
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borisoglebsk
Target entity description: Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • A. Borovsk
    Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
  • B. Belozersk
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • C. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • D. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • E. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94ae0a9608190ab241b6a62fe807b completed April 10, 2026, 7:09 p.m.
NEDg Description generation batch_69d94c6fa9ac8190819a399754d2bd15 completed April 10, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d953440a508190a50d1897cdbeba03 completed April 10, 2026, 7:45 p.m.
Created at: March 30, 2026, 9:10 p.m.