Triple

T8247051
Position Surface form Disambiguated ID Type / Status
Subject MATE E192874 entity
Predicate desktopShellComponent P81171 FINISHED
Object Pluma
Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
 E721347 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: Pluma | Statement: [MATE, desktopShellComponent, Pluma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pluma
Context triple: [MATE, desktopShellComponent, Pluma]
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • C. Pombo
    Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
  • D. Plumette
    Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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: Pluma
Triple: [MATE, desktopShellComponent, Pluma]
Generated description
Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pluma
Target entity description: Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • C. Pombo
    Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
  • D. Plumette
    Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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.