Triple

T6941793
Position Surface form Disambiguated ID Type / Status
Subject Le Creusot E160692 entity
Predicate twinTown P1072 FINISHED
Object Nischni Taguil
Nischni Taguil (Nizhny Tagil) is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical and heavy machinery production.
 E629576 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: Nischni Taguil | Statement: [Le Creusot, twinTown, Nischni Taguil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nischni Taguil
Context triple: [Le Creusot, twinTown, Nischni Taguil]
  • A. Shakhty
    Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
  • B. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • C. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • D. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • E. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • 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: Nischni Taguil
Triple: [Le Creusot, twinTown, Nischni Taguil]
Generated description
Nischni Taguil (Nizhny Tagil) is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical and heavy machinery production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nischni Taguil
Target entity description: Nischni Taguil (Nizhny Tagil) is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical and heavy machinery production.
  • A. Shakhty
    Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
  • B. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • C. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • D. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • E. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da85f43881909549ac26b3db135a completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515bb4688190a81bef732676eb4e completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c753193b3081908cf9ac63d23b32bf completed March 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69c753c6e7988190bcf772bc5162e53a completed March 28, 2026, 4:06 a.m.
Created at: March 27, 2026, 2:28 p.m.