Triple
T9187387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLI (AmigaShell) |
E220492
|
entity |
| Predicate | defaultPromptFormat |
P67097
|
FINISHED |
| Object | current directory and prompt symbol |
—
|
LITERAL 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: current directory and prompt symbol | Statement: [CLI (AmigaShell), defaultPromptFormat, current directory and prompt symbol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultPromptFormat Context triple: [CLI (AmigaShell), defaultPromptFormat, current directory and prompt symbol]
-
A.
promptType
Indicates the specific category or style of a prompt that characterizes how an instruction or request is framed or intended to be interpreted.
-
B.
defaultTemplate
chosen
Indicates that something serves as the standard or pre-defined pattern or structure used when no specific alternative is chosen.
-
C.
typicalUsageFormat
Indicates the usual or standard way in which something is expressed, presented, or formatted in practice.
-
D.
firstPartFormat
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
E.
defaultPackageFormat
Indicates the standard or primary packaging format that is used by default for an item or distribution.
- F. None of above.
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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.