Triple

T823950
Position Surface form Disambiguated ID Type / Status
Subject Peter III of Russia E17810 entity
Predicate deathPlace P21 FINISHED
Object Ropsha
Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
 E106576 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: Ropsha | Statement: [Peter III of Russia, deathPlace, Ropsha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ropsha
Context triple: [Peter III of Russia, deathPlace, Ropsha]
  • A. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • D. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • E. Krasnaya Sloboda
    Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
  • 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: Ropsha
Triple: [Peter III of Russia, deathPlace, Ropsha]
Generated description
Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ropsha
Target entity description: Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • A. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • D. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • E. Krasnaya Sloboda
    Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7d3984819089aefbf12d3b3c2c completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c714fc948190b84d34192b0064ff completed March 4, 2026, 5:45 a.m.
NEDg Description generation batch_69a7c82c5b888190ae5440f5d06d2bce completed March 4, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8991e7c81908c31d60f9a7f2340 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:38 p.m.