Triple
T4326985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank Rate |
E96655
|
entity |
| Predicate | changeEffect |
P53074
|
FINISHED |
| Object | higher Bank Rate tends to reduce inflationary pressure |
—
|
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: higher Bank Rate tends to reduce inflationary pressure | Statement: [Bank Rate, changeEffect, higher Bank Rate tends to reduce inflationary pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeEffect Context triple: [Bank Rate, changeEffect, higher Bank Rate tends to reduce inflationary pressure]
-
A.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
B.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
C.
eventEffect
chosen
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
D.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
E.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35131f11881909e2d5415a70d5785 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.