Triple

T755352
Position Surface form Disambiguated ID Type / Status
Subject Chinese Americans E15541 entity
Predicate economicContribution P2313 FINISHED
Object small business ownership 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: small business ownership | Statement: [Chinese Americans, economicContribution, small business ownership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicContribution
Context triple: [Chinese Americans, economicContribution, small business ownership]
  • A. economicFunction
    Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
  • B. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • C. economicGoal
    Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
  • D. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • E. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6693cbc8190a167e12a896d7ce7 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a50348088190873a1446db657a78 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.