Triple

T10060951
Position Surface form Disambiguated ID Type / Status
Subject FC Dynamo Brest E212985 entity
Predicate homeStadium P890 FINISHED
Object OSK Brestsky
OSK Brestsky is a multi-purpose football stadium in Brest, Belarus, best known as the home ground of FC Dynamo Brest.
 E838831 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: OSK Brestsky | Statement: [FC Dynamo Brest, homeStadium, OSK Brestsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSK Brestsky
Context triple: [FC Dynamo Brest, homeStadium, OSK Brestsky]
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • C. Orlov
    Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • 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: OSK Brestsky
Triple: [FC Dynamo Brest, homeStadium, OSK Brestsky]
Generated description
OSK Brestsky is a multi-purpose football stadium in Brest, Belarus, best known as the home ground of FC Dynamo Brest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSK Brestsky
Target entity description: OSK Brestsky is a multi-purpose football stadium in Brest, Belarus, best known as the home ground of FC Dynamo Brest.
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • C. Orlov
    Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a6779348190ab8db058fb6e5ce1 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29c76b84081909e23944c792aecbd completed April 5, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69d29ce64bf0819089e8ab126e33180e completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:57 p.m.