Triple

T3890697
Position Surface form Disambiguated ID Type / Status
Subject Switzerland men's national ice hockey team E88053 entity
Predicate code P1537 FINISHED
Object SUI
SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
 E396874 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: SUI | Statement: [Switzerland men's national ice hockey team, code, SUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUI
Context triple: [Switzerland men's national ice hockey team, code, SUI]
  • A. Sūmitsuin
    Sūmitsuin was the highest advisory body to the Emperor of Japan under the Meiji Constitution, functioning as the Privy Council that reviewed legislation, treaties, and constitutional matters.
  • B. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • E. NSUI
    NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
  • 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: SUI
Triple: [Switzerland men's national ice hockey team, code, SUI]
Generated description
SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUI
Target entity description: SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
  • A. Sūmitsuin
    Sūmitsuin was the highest advisory body to the Emperor of Japan under the Meiji Constitution, functioning as the Privy Council that reviewed legislation, treaties, and constitutional matters.
  • B. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • E. NSUI
    NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb0ba448190aa076865b7762002 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c91d41c8190868ce530d58b5516 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d21f9148190914639d9048f9f8e completed March 14, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b51dd884bc8190bf660c4eb70eccb1 completed March 14, 2026, 8:35 a.m.
Created at: March 9, 2026, 3:21 p.m.