Triple

T19604403
Position Surface form Disambiguated ID Type / Status
Subject Kashiwazaki-Kariwa Nuclear Power Plant E470565 entity
Predicate hasSpentFuelPools P78474 FINISHED
Object true 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: true | Statement: [Kashiwazaki-Kariwa Nuclear Power Plant, hasSpentFuelPools, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpentFuelPools
Context triple: [Kashiwazaki-Kariwa Nuclear Power Plant, hasSpentFuelPools, true]
  • A. numberOfFuelAssembliesInSpentFuelPoolAtAccident
    Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
  • B. hasIndependentSpentFuelStorageInstallation chosen
    Indicates that an entity possesses a separate, dedicated facility or installation for storing spent (used) nuclear fuel independently of other storage systems.
  • C. usedFusionFuel
    Indicates that an entity employed a specified material or substance as fuel in a fusion process.
  • D. hasBurnUnit
    Indicates that one entity (typically a medical facility) includes or is equipped with a specialized unit dedicated to the treatment and care of burn patients.
  • E. hasReactorCoolantSystem
    Indicates that an entity is equipped with or includes a reactor coolant system used to remove heat from a reactor.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64081af6c8190868b73b07c874cd5 completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.