Triple
T4278039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pip |
E97086
|
entity |
| Predicate | isRecommendedToolFor |
P29151
|
FINISHED |
| Object | installing Python packages from PyPI |
—
|
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: installing Python packages from PyPI | Statement: [pip, isRecommendedToolFor, installing Python packages from PyPI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecommendedToolFor Context triple: [pip, isRecommendedToolFor, installing Python packages from PyPI]
-
A.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
B.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
C.
relatedTool
Indicates that one tool has a meaningful association or connection with another tool, such as being complementary, compatible, or commonly used together.
-
D.
typicalTools
chosen
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
-
E.
toolUsed
Indicates that an action or task is performed using a particular tool as the means or instrument.
- 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_69b350201ac88190b9d8980da5f0d03d |
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.