Triple

T1855033
Position Surface form Disambiguated ID Type / Status
Subject Yamal Airlines E41681 entity
Predicate operatesTo P6304 FINISHED
Object Nadym
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
 E217669 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: Nadym | Statement: [Yamal Airlines, operatesTo, Nadym]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nadym
Context triple: [Yamal Airlines, operatesTo, Nadym]
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • E. Najd
    Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
  • 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: Nadym
Triple: [Yamal Airlines, operatesTo, Nadym]
Generated description
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nadym
Target entity description: Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • E. Najd
    Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
  • 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.