Triple
T9187983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AmigaDOS |
E220505
|
entity |
| Predicate | commandSyntaxStyle |
P79403
|
FINISHED |
| Object | keyword-based commands |
—
|
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: keyword-based commands | Statement: [AmigaDOS, commandSyntaxStyle, keyword-based commands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandSyntaxStyle Context triple: [AmigaDOS, commandSyntaxStyle, keyword-based commands]
-
A.
commandSyntax
chosen
Indicates the specific structure or format in which a command must be written or expressed.
-
B.
commandStyle
Indicates the manner or approach in which one entity issues commands or directives to another.
-
C.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
-
D.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
E.
commandPrefix
Indicates that one entity serves as the leading sequence of characters (prefix) used to invoke or recognize commands associated with another entity.
- 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_69ccc31d91d48190b8b8874e09c84404 |
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.