Triple
T17560520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | plpython2u |
E427684
|
entity |
| Predicate | canImport |
P9928
|
FINISHED |
| Object | standard Python 2 libraries |
—
|
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: standard Python 2 libraries | Statement: [plpython2u, canImport, standard Python 2 libraries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canImport Context triple: [plpython2u, canImport, standard Python 2 libraries]
-
A.
canImportFormat
Indicates that an entity has the capability to import or read data in a specified format.
-
B.
canUse
chosen
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
C.
canBring
Indicates that one entity has the ability or permission to bring another entity or item to a particular place or context.
-
D.
canExtract
Indicates that one entity has the ability or permission to extract or derive something from another entity or source.
-
E.
canHandle
Indicates that an entity has the ability or capacity to manage, process, or deal with another entity or situation.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
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.