Triple
T17557585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipfile |
E427625
|
entity |
| Predicate | sectionPurpose |
P127928
|
FINISHED |
| Object | [packages] specifies default runtime dependencies |
—
|
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: [packages] specifies default runtime dependencies | Statement: [Pipfile, sectionPurpose, [packages] specifies default runtime dependencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionPurpose Context triple: [Pipfile, sectionPurpose, [packages] specifies default runtime dependencies]
-
A.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
B.
servicePurpose
Indicates that one entity serves as the purpose, goal, or intended function for which another entity (typically a service) exists or is provided.
-
C.
sectionProvided
Indicates that a specific section or portion of content has been supplied or made available by one entity to another.
-
D.
sectionIntroduced
Indicates that a particular section was introduced or added at a specific point in time or context.
-
E.
expositionPurpose
Indicates that something (such as a text, speech, or display) serves the purpose of explaining, clarifying, or providing background information about a subject.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.