Triple
T10086820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO Rapid Deployable Corps Greece |
E215242
|
entity |
| Predicate | canDeploy |
P91988
|
FINISHED |
| Object | rapidly |
—
|
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: rapidly | Statement: [NATO Rapid Deployable Corps Greece, canDeploy, rapidly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDeploy Context triple: [NATO Rapid Deployable Corps Greece, canDeploy, rapidly]
-
A.
canDeployAs
Indicates that one entity is capable of being deployed or instantiated in the role, form, or environment represented by another entity.
-
B.
canDeployWithin
Indicates that one entity has the capability or permission to be deployed inside or within the scope, boundary, or environment defined by another entity.
-
C.
canDeployBeyond
Indicates that an entity has the capability or authorization to deploy something to locations or contexts that extend beyond a specified boundary or scope.
-
D.
canBeDeployedUnder
Indicates that one entity is permitted or suitable to be deployed or operated under the conditions, context, or authority defined by 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. chosen
Provenance (4 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04745b48190a77c422eb76b6660 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:01 p.m.