Triple

T8918243
Position Surface form Disambiguated ID Type / Status
Subject LMDE E212345 entity
Predicate includes P1393 FINISHED
Object mintBackup E212339 NE FINISHED

How this triple was built (2 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: mintBackup | Statement: [LMDE, includes, mintBackup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mintBackup
Context triple: [LMDE, includes, mintBackup]
  • A. mintBackup chosen
    mintBackup is a backup and restore utility for Linux Mint that helps users save and migrate their personal data and software selections.
  • B. MX Snapshot
    MX Snapshot is a utility in MX Linux that lets users create custom live ISO images of their current system for backup, cloning, or redistribution.
  • C. mintInstall
    mintInstall is Linux Mint’s graphical software manager that lets users easily browse, install, and remove applications from curated repositories.
  • D. Orvault
    Orvault is a suburban commune in western France, forming part of the metropolitan area of Nantes in the Loire-Atlantique department.
  • E. mintReport
    mintReport is a Linux Mint utility that helps users identify and troubleshoot system issues by providing diagnostic reports and recommendations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66120eb08190913ab6c42f26ffb8 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.