Triple

T8247215
Position Surface form Disambiguated ID Type / Status
Subject MX Linux E192877 entity
Predicate includesTool P1393 FINISHED
Object MX Tools
MX Tools is a collection of custom system utilities designed to simplify configuration, maintenance, and everyday tasks in the MX Linux distribution.
E721367 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: MX Tools | Statement: [MX Linux, includesTool, MX Tools]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MX Tools
Context triple: [MX Linux, includesTool, MX Tools]
  • A. Modo
    Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • B. Tek-Tools
    Tek-Tools was a software company known for its storage and virtualization management solutions before being acquired by SolarWinds.
  • C. Modo AIK
    Modo AIK was the earlier name of the Swedish professional ice hockey club now known as Modo Hockey, based in Örnsköldsvik.
  • D. Toolbx
    Toolbx is a Fedora project that provides containerized, mutable development environments on otherwise immutable operating systems.
  • E. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • 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: MX Tools
Triple: [MX Linux, includesTool, MX Tools]
Generated description
MX Tools is a collection of custom system utilities designed to simplify configuration, maintenance, and everyday tasks in the MX Linux distribution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MX Tools
Target entity description: MX Tools is a collection of custom system utilities designed to simplify configuration, maintenance, and everyday tasks in the MX Linux distribution.
  • A. Modo
    Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • B. Tek-Tools
    Tek-Tools was a software company known for its storage and virtualization management solutions before being acquired by SolarWinds.
  • C. Modo AIK
    Modo AIK was the earlier name of the Swedish professional ice hockey club now known as Modo Hockey, based in Örnsköldsvik.
  • D. Toolbx
    Toolbx is a Fedora project that provides containerized, mutable development environments on otherwise immutable operating systems.
  • E. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a5d3bc8190801b1b0f09eee462 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.