Triple
T27132185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convertibility Plan (Argentina) |
E681588
|
entity |
| Predicate | inflationContextBefore |
P46698
|
FINISHED |
| Object | hyperinflation in late 1980s |
—
|
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: hyperinflation in late 1980s | Statement: [Convertibility Plan (Argentina), inflationContextBefore, hyperinflation in late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflationContextBefore Context triple: [Convertibility Plan (Argentina), inflationContextBefore, hyperinflation in late 1980s]
-
A.
inflationContext
chosen
Indicates that an event, statement, or value is interpreted specifically within the economic condition or period characterized by inflation.
-
B.
inflationRateBefore
Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
-
C.
inflationRateAfter
Indicates the rate of inflation that applies following a specified time, event, or reference point.
-
D.
inflationType
Indicates the specific category or nature of inflation associated with an economic measure or context.
-
E.
inflationMethod
Indicates the method or process used to inflate something (such as a value, object, or parameter).
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6247832a48190b820e8c0c22ff5db |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:05 a.m.