Triple

T1854503
Position Surface form Disambiguated ID Type / Status
Subject Sugar Act 1764 E41670 entity
Predicate fiscalPurpose P11306 FINISHED
Object raise revenue from American colonies 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: raise revenue from American colonies | Statement: [Sugar Act 1764, fiscalPurpose, raise revenue from American colonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fiscalPurpose
Context triple: [Sugar Act 1764, fiscalPurpose, raise revenue from American colonies]
  • A. fiscalIssue
    Indicates a relationship where an entity is involved in, affected by, or associated with a financial or budgetary problem, concern, or matter.
  • B. budgetaryNature
    Indicates that something pertains to, characterizes, or affects the allocation, management, or structure of a budget.
  • C. financeMinister
    Indicates that one entity serves as the finance minister (or equivalent chief financial/government budget official) of another entity, typically a country or jurisdiction.
  • D. economicPolicyType chosen
    Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
  • E. budgetFunction
    Indicates a relationship where a specific budgeting rule or formula determines how resources or funds are allocated or constrained for an entity or activity.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafde4598819099d8229128348fd3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.