Triple

T17388994
Position Surface form Disambiguated ID Type / Status
Subject Kolguev Island E422765 entity
Predicate primarySettlement P13187 FINISHED
Object Bugrino
Bugrino is a small remote settlement that serves as the main inhabited community on Kolguev Island in the Barents Sea, within Russia’s Nenets Autonomous Okrug.
 E1265570 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: Bugrino | Statement: [Kolguev Island, primarySettlement, Bugrino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bugrino
Context triple: [Kolguev Island, primarySettlement, Bugrino]
  • A. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • B. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • C. Bugarra
    Bugarra is a small municipality in the province of Valencia, Spain, known for its rural landscape and riverside setting along the Turia.
  • D. Erquito
    Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • E. Briosa
    Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
  • 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: Bugrino
Triple: [Kolguev Island, primarySettlement, Bugrino]
Generated description
Bugrino is a small remote settlement that serves as the main inhabited community on Kolguev Island in the Barents Sea, within Russia’s Nenets Autonomous Okrug.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bugrino
Target entity description: Bugrino is a small remote settlement that serves as the main inhabited community on Kolguev Island in the Barents Sea, within Russia’s Nenets Autonomous Okrug.
  • A. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • B. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • C. Bugarra
    Bugarra is a small municipality in the province of Valencia, Spain, known for its rural landscape and riverside setting along the Turia.
  • D. Erquito
    Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • E. Briosa
    Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ffb34688190a0a69b069353ced8 completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a0585088819082a3cf1858cb2d99 completed May 11, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_6a01a0ee35348190a7d412a83ecd2acc completed May 11, 2026, 9:27 a.m.
Created at: April 10, 2026, 5:45 a.m.