Triple

T16549321
Position Surface form Disambiguated ID Type / Status
Subject Сыктывкар E402026 entity
Predicate nearestLargeCity P1982 FINISHED
Object Ухта
Ухта — промышленный город в Республике Коми России, известный как один из центров нефтегазодобычи и переработки в регионе.
 E1236451 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: Ухта | Statement: [Сыктывкар, nearestLargeCity, Ухта]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ухта
Context triple: [Сыктывкар, nearestLargeCity, Ухта]
  • A. 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.
  • B. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • C. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • D. Veliky Ustyug
    Veliky Ustyug is a historic town in northwestern Russia known for its well-preserved medieval architecture and as the official hometown of Ded Moroz, the Russian Santa Claus.
  • E. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • 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: Ухта
Triple: [Сыктывкар, nearestLargeCity, Ухта]
Generated description
Ухта — промышленный город в Республике Коми России, известный как один из центров нефтегазодобычи и переработки в регионе.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ухта
Target entity description: Ухта — промышленный город в Республике Коми России, известный как один из центров нефтегазодобычи и переработки в регионе.
  • A. 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.
  • B. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • C. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • D. Veliky Ustyug
    Veliky Ustyug is a historic town in northwestern Russia known for its well-preserved medieval architecture and as the official hometown of Ded Moroz, the Russian Santa Claus.
  • E. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb00b14c819093925c109913322c completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc66dbc08190bd569ed2b355c99d completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:15 a.m.