Triple

T15665074
Position Surface form Disambiguated ID Type / Status
Subject Old Taiwan dollar E377165 entity
Predicate reasonForMonetaryReform P99137 FINISHED
Object severe inflation 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: severe inflation | Statement: [Old Taiwan dollar, reasonForMonetaryReform, severe inflation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForMonetaryReform
Context triple: [Old Taiwan dollar, reasonForMonetaryReform, severe inflation]
  • A. causeOfReform chosen
    Indicates that one event, condition, or factor is the reason or driving force behind a particular reform or change in policy, structure, or practice.
  • B. coinageMotivation
    Indicates the reason or purpose motivating the creation or introduction of a particular coinage or monetary issue.
  • C. denominationReform
    Indicates a change or restructuring in a religious denomination’s doctrines, practices, or organizational form.
  • D. currencyInitiative
    Indicates an initiative, program, or action specifically related to the development, regulation, promotion, or reform of a currency or monetary system.
  • E. redenomination
    Indicates a change in the face value or unit of a currency, typically by replacing old denominations with new ones at a fixed conversion rate.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:16 a.m.