Triple

T7179609
Position Surface form Disambiguated ID Type / Status
Subject Khulays E167410 entity
Predicate hasPrimaryEnergySource P8164 FINISHED
Object electricity grid of Saudi Arabia 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: electricity grid of Saudi Arabia | Statement: [Khulays, hasPrimaryEnergySource, electricity grid of Saudi Arabia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEnergySource
Context triple: [Khulays, hasPrimaryEnergySource, electricity grid of Saudi Arabia]
  • A. hasPowerSource chosen
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • B. hasEnergyRole
    Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
  • C. hasRenewableEnergySystem
    Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
  • D. energyType
    Indicates the kind or category of energy associated with an entity or process.
  • E. hasRenewableEnergy
    Indicates that an entity possesses or utilizes energy derived from renewable sources.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e9b045c48190b27b2d6f7c11026f completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e74fb0f48190b2ad4dd4efdd241a completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:49 p.m.