Triple
T17598588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipfile.lock |
E428635
|
entity |
| Predicate | _metaSectionIncludes |
P37078
|
FINISHED |
| Object | hash of Pipfile |
—
|
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: hash of Pipfile | Statement: [Pipfile.lock, _metaSectionIncludes, hash of Pipfile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: _metaSectionIncludes Context triple: [Pipfile.lock, _metaSectionIncludes, hash of Pipfile]
-
A.
includesStatusSection
Indicates that something contains or provides a dedicated section for displaying status information.
-
B.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
C.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
D.
hasSectionIn
chosen
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
E.
sharesSectionsWith
Indicates that two entities have one or more sections or segments in common.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c474e5481909d2736241b592dab |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.