Triple

T1543778
Position Surface form Disambiguated ID Type / Status
Subject 2010 Winter Olympics E32928 entity
Predicate mascot P52 FINISHED
Object Miga
Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
 E176297 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: Miga | Statement: [2010 Winter Olympics, mascot, Miga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miga
Context triple: [2010 Winter Olympics, mascot, Miga]
  • A. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • B. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • E. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • 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: Miga
Triple: [2010 Winter Olympics, mascot, Miga]
Generated description
Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miga
Target entity description: Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • A. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • B. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • E. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9084140f0819098c81d295d08d480 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad309baebc81908240a0370bad9935 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3117b49881908916e7137f8b655c completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad3179b0148190b69b16b5d2051ece completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.