Triple

T7936745
Position Surface form Disambiguated ID Type / Status
Subject Object Management Group E184304 entity
Predicate knownFor P22 FINISHED
Object DDS
DDS (Data Distribution Service) is a real-time, publish–subscribe middleware standard for scalable, high-performance data exchange in distributed systems.
 E699637 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: DDS | Statement: [Object Management Group, knownFor, DDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDS
Context triple: [Object Management Group, knownFor, DDS]
  • A. DDS
    DDS is the California state agency responsible for overseeing services and supports for individuals with developmental disabilities.
  • B. DDD
    DDD is a graphical front-end interface for the GNU Debugger (GDB) that provides a visual environment for debugging programs.
  • C. DDD
    DDD is a software design approach that focuses on modeling complex business domains in close collaboration with domain experts to guide the structure and behavior of software systems.
  • D. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • E. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • 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: DDS
Triple: [Object Management Group, knownFor, DDS]
Generated description
DDS (Data Distribution Service) is a real-time, publish–subscribe middleware standard for scalable, high-performance data exchange in distributed systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDS
Target entity description: DDS (Data Distribution Service) is a real-time, publish–subscribe middleware standard for scalable, high-performance data exchange in distributed systems.
  • A. DDS
    DDS is the California state agency responsible for overseeing services and supports for individuals with developmental disabilities.
  • B. DDD
    DDD is a graphical front-end interface for the GNU Debugger (GDB) that provides a visual environment for debugging programs.
  • C. DDD
    DDD is a software design approach that focuses on modeling complex business domains in close collaboration with domain experts to guide the structure and behavior of software systems.
  • D. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • E. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aede3cc81908b0d3b54e68997b9 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.