Triple
T4277823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRAN |
E97083
|
entity |
| Predicate | hasPrimaryMirror |
P19960
|
FINISHED |
| Object | https://cran.r-project.org |
—
|
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: https://cran.r-project.org | Statement: [CRAN, hasPrimaryMirror, https://cran.r-project.org]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryMirror Context triple: [CRAN, hasPrimaryMirror, https://cran.r-project.org]
-
A.
hasSecondaryMirrorPosition
Indicates the spatial placement or configuration of a secondary mirror relative to the primary optical system.
-
B.
hasMirrorSupportSystem
Indicates that an entity is equipped with or connected to a system that supports or stabilizes a mirror.
-
C.
hasPrimarySee
Indicates that one entity is designated as the main or preferred "see" reference or cross-reference for another entity.
-
D.
hasRepositoryMirror
chosen
Indicates that one repository serves as a mirrored copy or synchronized duplicate of another repository.
-
E.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
- 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.