Triple
T17557593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipfile |
E427625
|
entity |
| Predicate | relatedFile |
P19741
|
FINISHED |
| Object | Pipfile.lock |
—
|
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: Pipfile.lock | Statement: [Pipfile, relatedFile, Pipfile.lock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFile Context triple: [Pipfile, relatedFile, Pipfile.lock]
-
A.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
B.
linkedDocument
chosen
Indicates that one document is associated with or references another document in a meaningful way.
-
C.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_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. |
Created at: April 10, 2026, 5:50 a.m.