Triple
T4278014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pip |
E97086
|
entity |
| Predicate | hasSubcommand |
P22505
|
FINISHED |
| Object | pip install |
—
|
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: pip install | Statement: [pip, hasSubcommand, pip install]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubcommand Context triple: [pip, hasSubcommand, pip install]
-
A.
hasSubordinateCommand
Indicates that one command or unit holds authority over and directs the operations of another command or unit that is subordinate to it.
-
B.
hasCommand
Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
-
C.
hasComponentCommand
Indicates that an entity includes or controls another entity as a subordinate or component command within an organizational or command structure.
-
D.
containsCommand
chosen
Indicates that one entity includes or embeds a command directed at or executable by another entity.
-
E.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501ef1388190b0c968b069014a59 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.