Triple

T1855032
Position Surface form Disambiguated ID Type / Status
Subject Yamal Airlines E41681 entity
Predicate operatesTo P6304 FINISHED
Object Novy Urengoy
Novy Urengoy is a major gas-producing city in Russia’s Yamalo-Nenets Autonomous Okrug, often called the “gas capital” of the country.
 E217668 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: Novy Urengoy | Statement: [Yamal Airlines, operatesTo, Novy Urengoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novy Urengoy
Context triple: [Yamal Airlines, operatesTo, Novy Urengoy]
  • A. Boksitogorsk
    Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
  • B. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • C. Berdyansk
    Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
  • D. Zheleznogorsk-Ilimsky
    Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
  • E. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • 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: Novy Urengoy
Triple: [Yamal Airlines, operatesTo, Novy Urengoy]
Generated description
Novy Urengoy is a major gas-producing city in Russia’s Yamalo-Nenets Autonomous Okrug, often called the “gas capital” of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novy Urengoy
Target entity description: Novy Urengoy is a major gas-producing city in Russia’s Yamalo-Nenets Autonomous Okrug, often called the “gas capital” of the country.
  • A. Boksitogorsk
    Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
  • B. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • C. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • D. Berdyansk
    Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
  • E. Zheleznogorsk-Ilimsky
    Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c82d50819094e8ccdba0faf819 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf6023dc081908399c9ad402c7e82 completed March 8, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69adf65600448190ae90a954f88115ff completed March 8, 2026, 10:21 p.m.
Created at: March 4, 2026, 7:33 p.m.