Triple

T7744813
Position Surface form Disambiguated ID Type / Status
Subject North Anna Nuclear Generating Station E175600 entity
Predicate hasReactorType P3675 FINISHED
Object pressurized water reactor 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: pressurized water reactor | Statement: [North Anna Nuclear Generating Station, hasReactorType, pressurized water reactor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReactorType
Context triple: [North Anna Nuclear Generating Station, hasReactorType, pressurized water reactor]
  • A. hasReactorUnit
    Indicates that one entity possesses, contains, or is equipped with a specific reactor unit as a component or subsystem.
  • B. hasReactorVendor
    Indicates that one entity serves as the supplier or manufacturer of a reactor for another entity.
  • C. reactorType chosen
    Indicates the specific kind or category of reactor associated with an entity.
  • D. hasActuatorType
    Indicates that an entity is equipped with or uses a specific type or category of actuator.
  • E. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70402169481909b219dc5f4a64b9b completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c7016c4a748190a7012030edaefcee completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:07 p.m.