Triple
T3158745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuevo sol |
E66052
|
entity |
| Predicate | inflationContext |
P46698
|
FINISHED |
| Object | introduced after period of hyperinflation in Peru |
—
|
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: introduced after period of hyperinflation in Peru | Statement: [Nuevo sol, inflationContext, introduced after period of hyperinflation in Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflationContext Context triple: [Nuevo sol, inflationContext, introduced after period of hyperinflation in Peru]
-
A.
inflationType
Indicates the specific category or nature of inflation associated with an economic measure or context.
-
B.
inflationRateBefore
Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
-
C.
inflationTargetCountry
Indicates that a country has adopted or is subject to a specific inflation target as part of its monetary or economic policy.
-
D.
inflationRateAfter
Indicates the rate of inflation that applies following a specified time, event, or reference point.
-
E.
regulatesInflationWith
Indicates a relationship where one entity controls, influences, or stabilizes the inflation level of another entity, typically through specific tools, policies, or mechanisms.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada1e4f7288190a80a1672e458132d |
completed | March 8, 2026, 4:20 p.m. |
Created at: March 8, 2026, 3:05 p.m.