Triple

T4970163
Position Surface form Disambiguated ID Type / Status
Subject Kaluga Oblast E111628 entity
Predicate containsCity P294 FINISHED
Object 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.
 E512286 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: Yukhnov | Statement: [Kaluga Oblast, containsCity, Yukhnov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yukhnov
Context triple: [Kaluga Oblast, containsCity, Yukhnov]
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • C. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • 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: Yukhnov
Triple: [Kaluga Oblast, containsCity, Yukhnov]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yukhnov
Target entity description: 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.
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • C. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd721221b88190916feb9b4f049195 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186311c88190a8fe34e497e4662b completed March 21, 2026, 10:14 p.m.
NEDg Description generation batch_69bf1ab34b6881908c5ac4fa8c67969f completed March 21, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69bf1b0138448190bff038e9d077d6c6 completed March 21, 2026, 10:26 p.m.
Created at: March 20, 2026, 1:33 p.m.