Triple
T4279262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PL/Python |
E97110
|
entity |
| Predicate | canBeInstalledWithCommand |
P22505
|
FINISHED |
| Object | CREATE EXTENSION plpythonu |
—
|
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: CREATE EXTENSION plpythonu | Statement: [PL/Python, canBeInstalledWithCommand, CREATE EXTENSION plpythonu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeInstalledWithCommand Context triple: [PL/Python, canBeInstalledWithCommand, CREATE EXTENSION plpythonu]
-
A.
requiresInstallation
Indicates that one entity must be installed or set up before the other can be used or become operational.
-
B.
supportsInstallation
Indicates that one entity is capable of enabling, handling, or being compatible with the installation of another entity.
-
C.
canBeDeployedUnder
Indicates that one entity is permitted or suitable to be deployed or operated under the conditions, context, or authority defined by another entity.
-
D.
containsCommand
chosen
Indicates that one entity includes or embeds a command directed at or executable by another entity.
-
E.
installedBy
Indicates that one entity was set up, put in place, or made operational through the actions or intervention of 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_69b350367da48190b735deef9b5d2d2e |
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.