Triple
T31744365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V-bomber force |
E810228
|
entity |
| Predicate | reducedRole |
P6322
|
FINISHED |
| Object | after Royal Navy Polaris 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: after Royal Navy Polaris deployment | Statement: [V-bomber force, reducedRole, after Royal Navy Polaris deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedRole Context triple: [V-bomber force, reducedRole, after Royal Navy Polaris deployment]
-
A.
minimizesRoleOf
chosen
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
B.
roleInThinner
Indicates that an entity has a specific role or function within the context of a thinner (such as a solvent or diluting agent) or a thinning process.
-
C.
providedRole
Indicates that one entity has assigned or supplied a specific role or function to another entity.
-
D.
exportRole
Indicates that an entity functions in a capacity or role specifically related to exporting goods, services, or data.
-
E.
effectiveRole
Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:26 p.m.