Triple
T35520159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convention of Klosterzeven |
E1026529
|
entity |
| Predicate | reactionInBritain |
P97670
|
FINISHED |
| Object | strong political criticism of the Duke of Cumberland |
—
|
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: strong political criticism of the Duke of Cumberland | Statement: [Convention of Klosterzeven, reactionInBritain, strong political criticism of the Duke of Cumberland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionInBritain Context triple: [Convention of Klosterzeven, reactionInBritain, strong political criticism of the Duke of Cumberland]
-
A.
resultForGreatBritain
Indicates the outcome or performance achieved specifically by Great Britain in a given event, context, or measurement.
-
B.
causedReaction
chosen
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
C.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
D.
roleInBritain
Indicates that an entity holds or has held a specific role, position, or function within the context of Britain.
-
E.
effectOnEngland
Indicates the impact or influence that something has on England.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.