Triple

T4919887
Position Surface form Disambiguated ID Type / Status
Subject National Olympic Committee of Sweden E110437 entity
Predicate shortName P43 FINISHED
Object SOK
SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
 E479655 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: SOK | Statement: [National Olympic Committee of Sweden, shortName, SOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOK
Context triple: [National Olympic Committee of Sweden, shortName, SOK]
  • A. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • B. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • C. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • D. Soka
    Soka is a city in Japan known for its location in Saitama Prefecture just north of Tokyo and its traditional rice crackers called "Soka senbei."
  • E. SOF
    SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
  • 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: SOK
Triple: [National Olympic Committee of Sweden, shortName, SOK]
Generated description
SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOK
Target entity description: SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
  • A. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • B. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. Soka
    Soka is a city in Japan known for its location in Saitama Prefecture just north of Tokyo and its traditional rice crackers called "Soka senbei."
  • E. SOF
    SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6faa78b88190938bee2f81025083 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff4acd88190a308fbac84d3bad9 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be724224a8819085c9989594741e06 completed March 21, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69be72f56c1c8190a80b6e1551289d84 completed March 21, 2026, 10:29 a.m.
Created at: March 20, 2026, 1:29 p.m.