Triple

T22271382
Position Surface form Disambiguated ID Type / Status
Subject Shiga Lakestars E550484 entity
Predicate abbreviation P43 FINISHED
Object SLS
SLS is the common abbreviation for the Shiga Lakestars, a professional basketball team based in Shiga Prefecture, Japan.
 E1528152 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: SLS | Statement: [Shiga Lakestars, abbreviation, SLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLS
Context triple: [Shiga Lakestars, abbreviation, SLS]
  • A. SLS
    SLS is the vehicle registration code used on license plates for vehicles registered in Saarlouis, Germany.
  • B. SLS
    SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
  • C. SLS
    SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
  • D. SLS
    SLS is Alibaba Cloud’s centralized log management and analysis service used for collecting, storing, searching, and visualizing log data at scale.
  • E. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • 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: SLS
Triple: [Shiga Lakestars, abbreviation, SLS]
Generated description
SLS is the common abbreviation for the Shiga Lakestars, a professional basketball team based in Shiga Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLS
Target entity description: SLS is the common abbreviation for the Shiga Lakestars, a professional basketball team based in Shiga Prefecture, Japan.
  • A. SLS
    SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
  • B. SLS
    SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
  • C. SLS
    SLS is the vehicle registration code used on license plates for vehicles registered in Saarlouis, Germany.
  • D. SLS
    SLS is Alibaba Cloud’s centralized log management and analysis service used for collecting, storing, searching, and visualizing log data at scale.
  • E. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141c056cc819088dae6f2b9a1d526 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca09c308190a99573267f3020b8 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd6207688190ab6ba1a04fa663a7 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe80fe7c8190a648efabc360b06d completed May 18, 2026, 7:23 a.m.
Created at: April 16, 2026, 8:40 p.m.