Triple
T7893188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jekyll |
E183285
|
entity |
| Predicate | supportsDeploymentMethod |
P53120
|
FINISHED |
| Object | Git-based deployment |
—
|
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: Git-based deployment | Statement: [Jekyll, supportsDeploymentMethod, Git-based deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDeploymentMethod Context triple: [Jekyll, supportsDeploymentMethod, Git-based deployment]
-
A.
supportsInstallation
Indicates that one entity is capable of enabling, handling, or being compatible with the installation of another entity.
-
B.
supportsAllocationMethods
Indicates that one entity enables, is compatible with, or provides mechanisms for using specific allocation methods associated with another entity.
-
C.
hasDeployment
Indicates that an entity is associated with or utilizes a specific deployment instance (e.g., of software, a model, or a system) in an operational context.
-
D.
deploymentOption
Indicates the available or chosen way in which something (such as a system, service, or component) can be deployed or made operational.
-
E.
deploymentMechanism
chosen
Indicates the method or process by which something is deployed, delivered, or made operational in its target environment.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5 p.m.