Triple
T31601060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema de Transferência de Reservas |
E806348
|
entity |
| Predicate | timeCriticality |
P73570
|
FINISHED |
| Object | high-value payments |
—
|
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: high-value payments | Statement: [Sistema de Transferência de Reservas, timeCriticality, high-value payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeCriticality Context triple: [Sistema de Transferência de Reservas, timeCriticality, high-value payments]
-
A.
timeCriticalFor
chosen
Indicates that one entity must occur, be addressed, or be completed within a strict or urgent time frame in relation to another entity or condition.
-
B.
criticalTo
Indicates that one entity is essential or indispensable for the functioning, success, or existence of another entity.
-
C.
criticality
Indicates the degree of importance, urgency, or potential impact associated with an entity, condition, or situation within a given context.
-
D.
timeSensitivity
Indicates how strongly the relationship or action depends on, changes with, or is constrained by time.
-
E.
criticalInterpretation
Indicates that one entity offers an evaluative, analytical, or interpretive commentary on another (such as a text, work, or idea).
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a86aecd48190b0f9e9fcb4cab449 |
completed | May 3, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:32 p.m.