Triple

T1088157
Position Surface form Disambiguated ID Type / Status
Subject Latin Monetary Union E24098 entity
Predicate problem P18260 FINISHED
Object silver depreciation 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: silver depreciation | Statement: [Latin Monetary Union, problem, silver depreciation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: problem
Context triple: [Latin Monetary Union, problem, silver depreciation]
  • A. problems chosen
    Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
  • B. problemStatement
    Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
  • C. fault
    Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
  • D. issue
    Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
  • E. resolutionIdea
    Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b741b0cc8190be001a16a81f6d9e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.