Triple

T6694877
Position Surface form Disambiguated ID Type / Status
Subject Salavat Yulaev Ufa E152722 entity
Predicate abbreviation P43 FINISHED
Object SAL
SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
 E612602 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: SAL | Statement: [Salavat Yulaev Ufa, abbreviation, SAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAL
Context triple: [Salavat Yulaev Ufa, abbreviation, SAL]
  • A. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • B. SAL
    SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • C. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • D. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • E. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • 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: SAL
Triple: [Salavat Yulaev Ufa, abbreviation, SAL]
Generated description
SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAL
Target entity description: SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • A. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • B. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • C. SAL
    SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • D. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • E. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b196b300819095a194195ef9bd11 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.