Triple

T6356374
Position Surface form Disambiguated ID Type / Status
Subject FC Lausanne-Sport E143001 entity
Predicate nickName P2937 FINISHED
Object LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
 E589235 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: LS | Statement: [FC Lausanne-Sport, nickName, LS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LS
Context triple: [FC Lausanne-Sport, nickName, LS]
  • A. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • B. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • C. SL
    SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. SL
    SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
  • 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: LS
Triple: [FC Lausanne-Sport, nickName, LS]
Generated description
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LS
Target entity description: LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
  • A. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • B. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • C. SL
    SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • D. SL
    SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f37d0881909289bafb09e29298 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62f5da47081908c995e28ba2ee3f8 completed March 27, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69c62fd9dd4c819091e0d87259f9d60f completed March 27, 2026, 7:20 a.m.
Created at: March 22, 2026, 4:32 p.m.