Triple

T6683157
Position Surface form Disambiguated ID Type / Status
Subject Papiermark E152035 entity
Predicate reasonForHyperinflation P71731 FINISHED
Object war reparations 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: war reparations | Statement: [Papiermark, reasonForHyperinflation, war reparations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForHyperinflation
Context triple: [Papiermark, reasonForHyperinflation, war reparations]
  • A. hyperinflationPeakPeriod
    Indicates the time interval during which a hyperinflation episode reaches its maximum intensity or peak severity.
  • B. inflationType
    Indicates the specific category or nature of inflation associated with an economic measure or context.
  • C. regulatesInflationWith
    Indicates a relationship where one entity controls, influences, or stabilizes the inflation level of another entity, typically through specific tools, policies, or mechanisms.
  • D. inflationContext
    Indicates that an event, statement, or value is interpreted specifically within the economic condition or period characterized by inflation.
  • E. hasInflation
    Indicates that an economic system, currency, or market is experiencing a general increase in prices and a corresponding decrease in purchasing power over time.
  • 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_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.
PDg Predicate description generation batch_69c6c0a90a088190978061cb05dbe268 completed March 27, 2026, 5:38 p.m.
Created at: March 27, 2026, 2:04 p.m.