Triple

T17229531
Position Surface form Disambiguated ID Type / Status
Subject Profits, Interest and Investment E418205 entity
Predicate analyzesRoleOf P67072 FINISHED
Object profits in market economies 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: profits in market economies | Statement: [Profits, Interest and Investment, analyzesRoleOf, profits in market economies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: analyzesRoleOf
Context triple: [Profits, Interest and Investment, analyzesRoleOf, profits in market economies]
  • A. intelligenceRole
    Indicates that an entity serves in an intelligence-related capacity or function (such as gathering, analyzing, or managing information) within a broader system or organization.
  • B. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • C. strategicRoleIn
    Indicates that one entity serves a strategic function, position, or importance within the context, operations, or objectives of another entity.
  • D. complexityRole
    Indicates a relationship where an entity’s role or function is characterized or classified in terms of its complexity level.
  • E. roleInTheory chosen
    Indicates the specific function, position, or contribution that an entity has within a particular theory or theoretical framework.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df62ec48190b2ed633a5bcc0255 completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3832553ac819091aa917c84f755b6 completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:39 a.m.