Triple
T22710330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABCL |
E561573
|
entity |
| Predicate | supportsDeploymentAs |
P85293
|
FINISHED |
| Object | JAR file |
—
|
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: JAR file | Statement: [ABCL, supportsDeploymentAs, JAR file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDeploymentAs Context triple: [ABCL, supportsDeploymentAs, JAR file]
-
A.
canDeployAs
chosen
Indicates that one entity is capable of being deployed or instantiated in the role, form, or environment represented by another entity.
-
B.
canDeploy
Indicates that one entity has the permission or capability to deploy another entity (such as software, resources, or configurations) into a target environment.
-
C.
canDeployWith
Indicates that one entity is compatible or allowed to be deployed together with another entity in the same environment or configuration.
-
D.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
-
E.
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.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.