Triple

T8846232
Position Surface form Disambiguated ID Type / Status
Subject FC Ural Yekaterinburg E210511 entity
Predicate shortName P43 FINISHED
Object Ural
Ural is a Russian professional football club based in Yekaterinburg that competes in the Russian Premier League.
 E760904 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: Ural | Statement: [FC Ural Yekaterinburg, shortName, Ural]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ural
Context triple: [FC Ural Yekaterinburg, shortName, Ural]
  • A. Ural
    Ural is a Russian automotive brand best known for its heavy-duty off-road trucks and military-grade utility vehicles.
  • B. Ural River
    The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
  • C. Bolshaya Urta River
    The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
  • D. Velikaya River
    The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
  • E. Lena River
    The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
  • 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: Ural
Triple: [FC Ural Yekaterinburg, shortName, Ural]
Generated description
Ural is a Russian professional football club based in Yekaterinburg that competes in the Russian Premier League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ural
Target entity description: Ural is a Russian professional football club based in Yekaterinburg that competes in the Russian Premier League.
  • A. Ural
    Ural is a Russian automotive brand best known for its heavy-duty off-road trucks and military-grade utility vehicles.
  • B. Ural River
    The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
  • C. Bolshaya Urta River
    The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
  • D. Velikaya River
    The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
  • E. Lena River
    The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a7c518819095399976148e1b9a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89b5acbc8190b0f5a81af71fc7aa completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8b4c15ac8190816f679de979b6b5 completed April 3, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bfdf55081909b71ef3e92c4928f completed April 3, 2026, 9:44 a.m.
Created at: March 30, 2026, 6:48 p.m.