Triple

T34484341
Position Surface form Disambiguated ID Type / Status
Subject Magnox E885275 entity
Predicate designedFuelBurnup P198533 FINISHED
Object low burnup compared to modern reactors 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: low burnup compared to modern reactors | Statement: [Magnox, designedFuelBurnup, low burnup compared to modern reactors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedFuelBurnup
Context triple: [Magnox, designedFuelBurnup, low burnup compared to modern reactors]
  • A. designedForFuelReprocessing
    Indicates that something is intended or specifically created to be used in the process of reprocessing fuel.
  • B. usedFusionFuel
    Indicates that an entity employed a specified material or substance as fuel in a fusion process.
  • C. hasFuelEnrichmentRange
    Indicates that there is a specified range of fuel enrichment levels associated with an entity or relationship.
  • D. fuelCladding
    Indicates a relationship where a material or component serves as the cladding (protective outer layer) for nuclear fuel.
  • E. hasFuelCycleCapability
    Indicates that an entity possesses the technical and operational ability to carry out one or more stages of the nuclear fuel cycle (such as fuel production, use, or reprocessing).
  • F. None of above. chosen

Provenance (4 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_69f349c947fc81909d30b53c194d6ea1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fef112398081909237c3872345968b completed May 9, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69feefb14ec08190ab401987d8c84a23 completed May 9, 2026, 8:26 a.m.
PDg Predicate description generation batch_69fef1112b0c8190a8eb027edb71e4e0 completed May 9, 2026, 8:32 a.m.
Created at: May 1, 2026, 2:01 a.m.