Triple

T163818
Position Surface form Disambiguated ID Type / Status
Subject United States Department of State E2967 entity
Predicate abbreviation 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, abbreviation, DOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOS
Context triple: [United States Department of State, abbreviation, 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. IBM PC
    The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
  • D. Turbo Pascal
    Turbo Pascal is a once-popular integrated development environment and compiler for the Pascal programming language, known for its fast compilation speed and influence on early PC software development.
  • E. Windows
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d7343fc08190810b11d205e41d9a completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.