Triple
T320656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian rupiah |
E6406
|
entity |
| Predicate | inflationHistory |
P8010
|
FINISHED |
| Object | high inflation in late 1990s |
—
|
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 inflation in late 1990s | Statement: [Indonesian rupiah, inflationHistory, high inflation in late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflationHistory Context triple: [Indonesian rupiah, inflationHistory, high inflation in late 1990s]
-
A.
inflationRateBefore
Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
-
B.
inflationType
Indicates the specific category or nature of inflation associated with an economic measure or context.
-
C.
inflationRateAfter
Indicates the rate of inflation that applies following a specified time, event, or reference point.
-
D.
hasInflation
chosen
Indicates that an economic system, currency, or market is experiencing a general increase in prices and a corresponding decrease in purchasing power over time.
-
E.
historicalSubunit
Indicates that one entity functioned as a subordinate or component part of another entity during a specific historical period, but is no longer in that role in the present.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e946607081909c8b97473aaf8d1b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.