Triple
T11654025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure CLI |
E276972
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Command Prompt |
E193867
|
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 Prompt | Statement: [Azure CLI, supports, Command Prompt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Command Prompt Context triple: [Azure CLI, supports, Command Prompt]
-
A.
Windows Command Prompt
chosen
Windows Command Prompt is a text-based command-line interpreter for Windows that allows users to execute system commands, run scripts, and manage files and processes.
-
B.
Terminal
Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
-
C.
Terminal
Terminal is a 2018 neo-noir thriller film starring Margot Robbie, known for its stylized visuals and dark, twisting narrative.
-
D.
CMD
CMD is the command-line interpreter for Microsoft Windows that allows users to execute text-based commands for system administration and automation tasks.
-
E.
CMD
CMD is the three-letter station code used to identify Camden Town tube station on the London Underground network.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3cee010819089cffdbefe5a6efb |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee880eccc4819096e2b3305cdb3239 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.