Triple

T2567949
Position Surface form Disambiguated ID Type / Status
Subject FreeDOS E57594 entity
Predicate includes P1393 FINISHED
Object FreeDOS kernel E57594 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: FreeDOS kernel | Statement: [FreeDOS, includes, FreeDOS kernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FreeDOS kernel
Context triple: [FreeDOS, includes, FreeDOS kernel]
  • A. FreeDOS chosen
    FreeDOS is a free, open-source operating system that is compatible with and serves as a replacement for MS-DOS.
  • B. DR-DOS
    DR-DOS is a DOS-compatible operating system developed by Digital Research as an alternative to MS-DOS, known for its advanced memory management and multitasking features for IBM PC-compatible computers.
  • C. MS-DOS Executive
    MS-DOS Executive is the simple file management and program-launching shell that served as the primary user interface in early versions of Microsoft Windows, notably Windows 1.0.
  • D. DOS
    DOS is the commonly used acronym for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
  • E. MS-DOS
    MS-DOS is a command-line operating system that became the foundational software platform for early IBM-compatible personal computers in the 1980s and early 1990s.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83a9c1988190b311da7b3f6b1413 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:48 p.m.