Triple

T36311524
Position Surface form Disambiguated ID Type / Status
Subject Kenya Vision 2030 E894079 entity
Predicate economicGrowthTarget P14665 FINISHED
Object 10 percent annual economic growth rate 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: 10 percent annual economic growth rate | Statement: [Kenya Vision 2030, economicGrowthTarget, 10 percent annual economic growth rate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicGrowthTarget
Context triple: [Kenya Vision 2030, economicGrowthTarget, 10 percent annual economic growth rate]
  • A. economicGoal chosen
    Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
  • B. 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.
  • C. economicPolicyWing
    Indicates a relationship where an entity functions as the economic policy division or unit within a larger organization or structure.
  • D. economicPolicyOutcome
    Indicates the resulting economic conditions, effects, or consequences that arise from implementing a particular economic policy.
  • E. economicTrend
    Indicates the general direction or pattern of economic activity or conditions over a period of time.
  • 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_69f76e4c1b248190b10667d0213537fe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba6d06f48190a71b5a2f19e2232f completed May 3, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69f7b9a4aad48190a62e41c5e39339d9 completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:09 p.m.