Triple

T8289012
Position Surface form Disambiguated ID Type / Status
Subject Remote Desktop Services E193848 entity
Predicate abbreviation P43 FINISHED
Object RDS
RDS is a Microsoft Windows Server role that enables users to remotely access desktops and applications hosted on centralized servers.
 E727377 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: RDS | Statement: [Remote Desktop Services, abbreviation, RDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RDS
Context triple: [Remote Desktop Services, abbreviation, RDS]
  • A. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • B. RDS2
    RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
  • C. Amazon RDS
    Amazon RDS is a managed relational database service by Amazon Web Services that simplifies setup, operation, and scaling of databases in the cloud.
  • D. ApsaraDB for RDS
    ApsaraDB for RDS is Alibaba Cloud’s managed relational database service that provides scalable, high-availability SQL databases with automated management and security features.
  • E. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • 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: RDS
Triple: [Remote Desktop Services, abbreviation, RDS]
Generated description
RDS is a Microsoft Windows Server role that enables users to remotely access desktops and applications hosted on centralized servers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RDS
Target entity description: RDS is a Microsoft Windows Server role that enables users to remotely access desktops and applications hosted on centralized servers.
  • A. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • B. RDS2
    RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
  • C. Amazon RDS
    Amazon RDS is a managed relational database service by Amazon Web Services that simplifies setup, operation, and scaling of databases in the cloud.
  • D. ApsaraDB for RDS
    ApsaraDB for RDS is Alibaba Cloud’s managed relational database service that provides scalable, high-availability SQL databases with automated management and security features.
  • E. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c98e15c8190ac2a0b2a5ff834c9 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6d38f3c8190a7939e4fd9aff9b6 completed April 2, 2026, 1:30 a.m.
NEDg Description generation batch_69cdcb8cbd3c8190b467ecbcf55231e9 completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdccff097c819099a33612504468e1 completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:52 p.m.