Triple

T9018140
Position Surface form Disambiguated ID Type / Status
Subject KDE Frameworks E215645 entity
Predicate component P35 FINISHED
Object KService
KService is a KDE Frameworks library that provides an API for describing, querying, and loading services and plugins within the KDE software environment.
 E773001 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: KService | Statement: [KDE Frameworks, component, KService]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KService
Context triple: [KDE Frameworks, component, KService]
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. KCS
    KCS is a public school district serving the Kannapolis, North Carolina area.
  • C. KCS
    KCS is the reporting mark used by Kansas City Southern Railway, a major freight railroad operating in the central and southern United States and into Mexico.
  • D. KCS
    KCS is the common abbreviation for the Kansas City Scouts, a former National Hockey League team that later became the Colorado Rockies and then the New Jersey Devils.
  • E. KMSKA
    KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
  • 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: KService
Triple: [KDE Frameworks, component, KService]
Generated description
KService is a KDE Frameworks library that provides an API for describing, querying, and loading services and plugins within the KDE software environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KService
Target entity description: KService is a KDE Frameworks library that provides an API for describing, querying, and loading services and plugins within the KDE software environment.
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. KCS
    KCS is a public school district serving the Kannapolis, North Carolina area.
  • C. KCS
    KCS is the reporting mark used by Kansas City Southern Railway, a major freight railroad operating in the central and southern United States and into Mexico.
  • D. KCS
    KCS is the common abbreviation for the Kansas City Scouts, a former National Hockey League team that later became the Colorado Rockies and then the New Jersey Devils.
  • E. KMSKA
    KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a3ef98081909e66372a89f881b9 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbabd6108190aa2f3c6f59d7999c completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc48f22081909f17ec4c5542da47 completed April 3, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69cfdcecebe48190a2ede4c8400b3b42 completed April 3, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:07 p.m.