Triple
T6683172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papiermark |
E152035
|
entity |
| Predicate | peakInflationYear |
P18122
|
FINISHED |
| Object | 1923 |
—
|
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: 1923 | Statement: [Papiermark, peakInflationYear, 1923]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakInflationYear Context triple: [Papiermark, peakInflationYear, 1923]
-
A.
hyperinflationPeakPeriod
Indicates the time interval during which a hyperinflation episode reaches its maximum intensity or peak severity.
-
B.
peakYear
chosen
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
C.
unemploymentPeak
Indicates that the level of unemployment has reached its highest point within a specified time period or context.
-
D.
historicalPeak
Indicates that the related value or state represents the highest level ever reached by something within a historical or recorded time frame.
-
E.
inflationRateBefore
Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.