Triple

T295141
Position Surface form Disambiguated ID Type / Status
Subject 1998 Winter Olympics E6075 entity
Predicate mascot P52 FINISHED
Object Sukki
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
E38860 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: Sukki | Statement: [1998 Winter Olympics, mascot, Sukki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukki
Context triple: [1998 Winter Olympics, mascot, Sukki]
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • C. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • D. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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: Sukki
Triple: [1998 Winter Olympics, mascot, Sukki]
Generated description
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sukki
Target entity description: Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • C. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • D. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e979663481908cf9622e59fed041 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ab9fda4c81909358613369a6848c completed March 1, 2026, 2:59 a.m.
NEDg Description generation batch_69a3aecd6fd48190843ac6f272ca83ac completed March 1, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69a3af5293b88190929dbdce5c89bf10 completed March 1, 2026, 3:15 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.