Triple

T333865
Position Surface form Disambiguated ID Type / Status
Subject Yao E6680 entity
Predicate hasEconomicFunction P1099 FINISHED
Object industrial production 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: industrial production | Statement: [Yao, hasEconomicFunction, industrial production]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicFunction
Context triple: [Yao, hasEconomicFunction, industrial production]
  • A. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • C. hasEconomicActivity chosen
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • D. hasEconomicProgram
    Indicates that an entity possesses, implements, or is associated with a specific economic plan, policy framework, or set of economic measures.
  • E. economicSystem
    Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac4d9d081908a624464e450fb0e completed Feb. 28, 2026, 1:16 p.m.
PD Predicate disambiguation batch_69a2e94d99cc8190a112e4b630ec63c1 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.