Triple

T3596278
Position Surface form Disambiguated ID Type / Status
Subject Yamalo-Nenets Autonomous Okrug E76147 entity
Predicate largestCity P235 FINISHED
Object Noyabrsk
Noyabrsk is a major oil and gas industry city in northern Russia, located in the Yamalo-Nenets region of Western Siberia.
 E372430 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: Noyabrsk | Statement: [Yamalo-Nenets Autonomous Okrug, largestCity, Noyabrsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noyabrsk
Context triple: [Yamalo-Nenets Autonomous Okrug, largestCity, Noyabrsk]
  • A. Novodvinsk
    Novodvinsk is an industrial town in northern Russia known for its pulp and paper production and its location near the regional center of Arkhangelsk.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • 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: Noyabrsk
Triple: [Yamalo-Nenets Autonomous Okrug, largestCity, Noyabrsk]
Generated description
Noyabrsk is a major oil and gas industry city in northern Russia, located in the Yamalo-Nenets region of Western Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noyabrsk
Target entity description: Noyabrsk is a major oil and gas industry city in northern Russia, located in the Yamalo-Nenets region of Western Siberia.
  • A. Novodvinsk
    Novodvinsk is an industrial town in northern Russia known for its pulp and paper production and its location near the regional center of Arkhangelsk.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b403130cf081909bb90800d7dc2d6f completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b40e244db08190bbe9053619820ae8 completed March 13, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_69b42d8084c88190a2aae4a883d050a0 completed March 13, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:22 p.m.