Triple

T930752
Position Surface form Disambiguated ID Type / Status
Subject United States Department of State E20086 entity
Predicate acronym P43 FINISHED
Object DOS E2966 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: DOS | Statement: [United States Department of State, acronym, DOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOS
Context triple: [United States Department of State, acronym, DOS]
  • A. DOS chosen
    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.
  • B. 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.
  • C. CP/M
    CP/M is an early microcomputer operating system widely used in the late 1970s and early 1980s, known for its influence on later systems like MS-DOS.
  • D. FreeDOS
    FreeDOS is a free, open-source operating system that is compatible with and serves as a replacement for MS-DOS.
  • E. CP/M-86
    CP/M-86 is a 16-bit version of the CP/M operating system designed for Intel 8086/8088-based computers, serving as an early alternative to MS-DOS on machines like the IBM PC.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34b302c81908fa32cb18f551493 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee1108188190a26c73864c697061 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.