Triple
T2189170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computer Command System |
E49820
|
entity |
| Predicate | commandInputFormat |
P37198
|
FINISHED |
| Object | encoded digital command words |
—
|
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: encoded digital command words | Statement: [Computer Command System, commandInputFormat, encoded digital command words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandInputFormat Context triple: [Computer Command System, commandInputFormat, encoded digital command words]
-
A.
commandType
Indicates the specific kind or category of command being issued or executed in the relationship.
-
B.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
C.
commandProcessor
Indicates that one entity is responsible for receiving, interpreting, and executing commands issued by another entity.
-
D.
commandName
Indicates the specific label or identifier used to denote a particular command within a system or interface.
-
E.
commandSet
Indicates that one entity issues or defines a specific set of commands for another entity or system to follow.
- F. None of above. chosen
Provenance (4 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:46 p.m.