Triple

T11751367
Position Surface form Disambiguated ID Type / Status
Subject FreeCOM E279412 entity
Predicate replaces P101 FINISHED
Object COMMAND.COM E713579 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: COMMAND.COM | Statement: [FreeCOM, replaces, COMMAND.COM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COMMAND.COM
Context triple: [FreeCOM, replaces, COMMAND.COM]
  • A. MS-DOS COMMAND.COM chosen
    MS-DOS COMMAND.COM is the primary command-line interpreter for MS-DOS operating systems, responsible for executing user commands, running batch files, and managing basic system tasks.
  • B. 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.
  • 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. CMD
    CMD is the three-letter station code used to identify Camden Town tube station on the London Underground network.
  • E. CMD
    CMD is the command-line interpreter for Microsoft Windows that allows users to execute text-based commands for system administration and automation tasks.
  • 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_69f01a13550081909a26f57b30d68e03 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.