Triple

T12438048
Position Surface form Disambiguated ID Type / Status
Subject Tatiana Nikolayeva E297198 entity
Predicate placeOfBirth P1 FINISHED
Object Bezhitsa
Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
E990340 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: Bezhitsa | Statement: [Tatiana Nikolayeva, placeOfBirth, Bezhitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezhitsa
Context triple: [Tatiana Nikolayeva, placeOfBirth, Bezhitsa]
  • A. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • B. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • C. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka 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: Bezhitsa
Triple: [Tatiana Nikolayeva, placeOfBirth, Bezhitsa]
Generated description
Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bezhitsa
Target entity description: Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
  • A. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • B. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • C. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556686448190ad408b826ebc01c0 completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f656d02afc81909712182034bec255 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 8, 2026, 9:55 p.m.