Triple

T3793118
Position Surface form Disambiguated ID Type / Status
Subject Cabinda E89703 entity
Predicate economyDependentOn P16022 FINISHED
Object oil industry 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: oil industry | Statement: [Cabinda, economyDependentOn, oil industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economyDependentOn
Context triple: [Cabinda, economyDependentOn, oil industry]
  • A. economicSectorSourceOfWealth chosen
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • B. regionalEconomyType
    Indicates the type or classification of an economy associated with a specific region.
  • C. economyIncludes
    Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
  • D. 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.
  • E. isLinkedEconomicallyTo
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69aee743c8d08190a9f9c97b836bd703 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.