Triple

T11751421
Position Surface form Disambiguated ID Type / Status
Subject FDISK E279413 entity
Predicate runsOn P23 FINISHED
Object FreeDOS 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 | Statement: [FDISK, runsOn, FreeDOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FreeDOS
Context triple: [FDISK, runsOn, FreeDOS]
  • 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. 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.
  • D. 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.
  • E. SpartaDOS
    SpartaDOS is a popular third-party disk operating system for Atari 8-bit computers, known for its advanced features, MS-DOS-like command structure, and enhanced file management capabilities.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a509c2448190b0deb7ed29c3a73f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4713ee6e48190ab1860b9899b7b48 completed May 1, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:41 p.m.