Triple

T19270723
Position Surface form Disambiguated ID Type / Status
Subject Bila Tserkva E481915 entity
Predicate historicalName P65 FINISHED
Object Yuriev
Yuriev is the historical name of the Ukrainian city now known as Bila Tserkva, an important regional center south of Kyiv.
 E1370415 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: Yuriev | Statement: [Bila Tserkva, historicalName, Yuriev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuriev
Context triple: [Bila Tserkva, historicalName, Yuriev]
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Yurka
    Yurka is the surname of Blanche Yurka, an American actress and director known for her work on stage and in early cinema.
  • C. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • D. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • E. Odoyev
    Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
  • 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: Yuriev
Triple: [Bila Tserkva, historicalName, Yuriev]
Generated description
Yuriev is the historical name of the Ukrainian city now known as Bila Tserkva, an important regional center south of Kyiv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuriev
Target entity description: Yuriev is the historical name of the Ukrainian city now known as Bila Tserkva, an important regional center south of Kyiv.
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Yurka
    Yurka is the surname of Blanche Yurka, an American actress and director known for her work on stage and in early cinema.
  • C. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • D. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • E. Odoyev
    Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb8bea08190b5c65eebe67dccbb completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bce5ef08190bca61ea94b5956d5 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de4a7688190a7114a7eec39fd8f completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:29 p.m.