Triple
T4326968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank Rate |
E96655
|
entity |
| Predicate | decisionFrequency |
P56261
|
FINISHED |
| Object | usually every six weeks |
—
|
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: usually every six weeks | Statement: [Bank Rate, decisionFrequency, usually every six weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionFrequency Context triple: [Bank Rate, decisionFrequency, usually every six weeks]
-
A.
decisionSpeed
Indicates how quickly a decision is reached or made in a given context.
-
B.
decisionDirection
Indicates the orientation or course (e.g., choice, stance, or path) that a decision takes relative to available options or influencing factors.
-
C.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
D.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
E.
decisionStyle
Indicates the characteristic way an entity approaches, processes, and makes decisions in a given 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_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. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:13 p.m.