Triple
T4277997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pip |
E97086
|
entity |
| Predicate | usesFileType |
P24327
|
FINISHED |
| Object | requirements.txt |
—
|
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: requirements.txt | Statement: [pip, usesFileType, requirements.txt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFileType Context triple: [pip, usesFileType, requirements.txt]
-
A.
documentTypeUsed
chosen
Indicates that a particular type or category of document is employed or applied in a given context or activity.
-
B.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
C.
fileTypeIIDMeaning
Indicates that the predicate specifies the meaning or interpretation associated with a particular file type identifier (IID).
-
D.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
E.
usesDirectory
Indicates that one entity makes use of or operates within a particular directory in a file system or organizational structure.
- 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.