Triple

T1173724
Position Surface form Disambiguated ID Type / Status
Subject 2002 FIFA World Cup E24969 entity
Predicate mascot P52 FINISHED
Object Ato
Ato is one of the futuristic, computer-generated "Spheriks" characters who served as an official mascot for the 2002 FIFA World Cup in South Korea and Japan.
 E133196 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: Ato | Statement: [2002 FIFA World Cup, mascot, Ato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ato
Context triple: [2002 FIFA World Cup, mascot, Ato]
  • A. Ate
    Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
  • B. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • D. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • E. Ara
    Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
  • 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: Ato
Triple: [2002 FIFA World Cup, mascot, Ato]
Generated description
Ato is one of the futuristic, computer-generated "Spheriks" characters who served as an official mascot for the 2002 FIFA World Cup in South Korea and Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ato
Target entity description: Ato is one of the futuristic, computer-generated "Spheriks" characters who served as an official mascot for the 2002 FIFA World Cup in South Korea and Japan.
  • A. Ate
    Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
  • B. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • D. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • E. Ara
    Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcee38c881909c2fc73ba35f7253 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668a135881909b885e2816ee8240 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.