Triple

T19750377
Position Surface form Disambiguated ID Type / Status
Subject Alibaba Cloud Log Service E474357 entity
Predicate alternateName P39 FINISHED
Object SLS
SLS is Alibaba Cloud’s centralized log management and analysis service used for collecting, storing, searching, and visualizing log data at scale.
 E1392478 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: [Alibaba Cloud Log Service, alternateName, SLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLS
Context triple: [Alibaba Cloud Log Service, alternateName, SLS]
  • A. SLS
    SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
  • B. SLS
    SLS is the vehicle registration code used on license plates for vehicles registered in Saarlouis, Germany.
  • C. 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.
  • D. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • E. SLSF
    SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
  • 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: [Alibaba Cloud Log Service, alternateName, SLS]
Generated description
SLS is Alibaba Cloud’s centralized log management and analysis service used for collecting, storing, searching, and visualizing log data at scale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLS
Target entity description: SLS is Alibaba Cloud’s centralized log management and analysis service used for collecting, storing, searching, and visualizing log data at scale.
  • 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. SLM
    SLM is the stock ticker symbol for Sanlam, a major South African financial services group offering insurance, investment, and wealth management products.
  • E. SLSF
    SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529875688190952af476aa5be492 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b505634481908e84b80e611b3892 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5d90eb081909286da7f06d606cf completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b6bb60088190b3473ff2bf7cfde1 completed May 16, 2026, 12:13 a.m.
Created at: April 10, 2026, 1:47 p.m.