Triple

T37155456
Position Surface form Disambiguated ID Type / Status
Subject Dounreay E920484 entity
Predicate hasFacility P105 FINISHED
Object Prototype Fast Reactor
The Prototype Fast Reactor was an experimental fast breeder nuclear reactor in the UK that tested advanced reactor technology and fuel cycles at the Dounreay site in Scotland.
 E2216070 NE 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: Prototype Fast Reactor | Statement: [Dounreay, hasFacility, Prototype Fast Reactor]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prototype Fast Reactor
Triple: [Dounreay, hasFacility, Prototype Fast Reactor]
Generated description
The Prototype Fast Reactor was an experimental fast breeder nuclear reactor in the UK that tested advanced reactor technology and fuel cycles at the Dounreay site in Scotland.

Provenance (5 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_69f76e9f87c08190b4c8f7fafbd8345a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb309094e48190a03274d7b8891292 completed May 6, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bb633908190ab3e1af6071db5e5 completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402c23c4e481908e808481ba088b5f completed June 27, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a40304ade9881909cdbe86d75532576 completed June 27, 2026, 8:19 p.m.
Created at: May 3, 2026, 4:15 p.m.