Triple
T6970354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Time Gross Settlement system |
E161582
|
entity |
| Predicate | timeCriticalFor |
P73570
|
FINISHED |
| Object | monetary policy operations |
—
|
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: monetary policy operations | Statement: [Real Time Gross Settlement system, timeCriticalFor, monetary policy operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeCriticalFor Context triple: [Real Time Gross Settlement system, timeCriticalFor, monetary policy operations]
-
A.
criticalStrip
Indicates that something lies within the critical strip, the region of complex values whose real parts fall between 0 and 1.
-
B.
dateOfFirstCriticality
Indicates the date on which a nuclear reactor or system first achieved a self-sustaining nuclear chain reaction (first became critical).
-
C.
timeLimited
Indicates that the relationship or action is constrained to occur or remain valid only within a specific, limited time period.
-
D.
criticalLine
Indicates that one entity is a crucial or decisive line (such as a boundary, path, or threshold) whose state or position significantly affects the other entity or overall system.
-
E.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1649288190a52c7dab57b3c7dc |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:30 p.m.