Triple

T1907625
Position Surface form Disambiguated ID Type / Status
Subject Linux Mint E38037 entity
Predicate includes P1393 FINISHED
Object mintInstall
mintInstall is Linux Mint’s graphical software manager that lets users easily browse, install, and remove applications from curated repositories.
E212338 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: mintInstall | Statement: [Linux Mint, includes, mintInstall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mintInstall
Context triple: [Linux Mint, includes, mintInstall]
  • A. YUM
    YUM is a command-line package management utility for RPM-based Linux distributions that automatically handles software installation, updates, and dependency resolution.
  • B. Katello
    Katello is an open-source systems management and content lifecycle tool that provides software repository, subscription, and configuration management capabilities, commonly used as a core component of Red Hat Satellite.
  • C. Apt
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • D. mojombo
    mojombo is the online pseudonym of Tom Preston-Werner, a software developer and entrepreneur best known as a co-founder of GitHub.
  • E. MNT
    MNT is the Mongolian tögrög, the official national currency of Mongolia.
  • 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: mintInstall
Triple: [Linux Mint, includes, mintInstall]
Generated description
mintInstall is Linux Mint’s graphical software manager that lets users easily browse, install, and remove applications from curated repositories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: mintInstall
Target entity description: mintInstall is Linux Mint’s graphical software manager that lets users easily browse, install, and remove applications from curated repositories.
  • A. YUM
    YUM is a command-line package management utility for RPM-based Linux distributions that automatically handles software installation, updates, and dependency resolution.
  • B. Katello
    Katello is an open-source systems management and content lifecycle tool that provides software repository, subscription, and configuration management capabilities, commonly used as a core component of Red Hat Satellite.
  • C. Apt
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • D. mojombo
    mojombo is the online pseudonym of Tom Preston-Werner, a software developer and entrepreneur best known as a co-founder of GitHub.
  • E. MNT
    MNT is the Mongolian tögrög, the official national currency of Mongolia.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b44174819084fa06faf1930221 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafb063481908a08f5570acc5b57 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adec22c5e48190af85fa4a1d4c5d8d completed March 8, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69adec9a840c8190a03f4de0f03a0e10 completed March 8, 2026, 9:39 p.m.
Created at: March 4, 2026, 7:35 p.m.