Triple
T6182847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Army of the Rhine |
E137983
|
entity |
| Predicate | typeOfDeployment |
P69535
|
FINISHED |
| Object | permanent overseas stationing |
—
|
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: permanent overseas stationing | Statement: [British Army of the Rhine, typeOfDeployment, permanent overseas stationing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDeployment Context triple: [British Army of the Rhine, typeOfDeployment, permanent overseas stationing]
-
A.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
B.
typicalDeployment
Indicates that one entity represents the standard or most commonly used deployment configuration or pattern for the other entity.
-
C.
typeOfCloud
Indicates the specific category or classification of a cloud within a cloud-type taxonomy or system.
-
D.
deploymentModel
Indicates the type or manner in which a system, service, or resource is deployed or made available (e.g., on-premises, cloud, hybrid).
-
E.
deploymentOption
Indicates the available or chosen way in which something (such as a system, service, or component) can be deployed or made operational.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06100c2b0819097f287e86f63d590 |
completed | March 22, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:19 p.m.