Triple

T26394627
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom Atomic Energy Authority E663513 entity
Predicate separatedInto P12217 FINISHED
Object United Kingdom Nirex Limited
United Kingdom Nirex Limited was a company responsible for developing and managing solutions for the safe disposal of the United Kingdom’s intermediate- and low-level radioactive waste.
E1722470 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: United Kingdom Nirex Limited | Statement: [United Kingdom Atomic Energy Authority, separatedInto, United Kingdom Nirex Limited]
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: United Kingdom Nirex Limited
Triple: [United Kingdom Atomic Energy Authority, separatedInto, United Kingdom Nirex Limited]
Generated description
United Kingdom Nirex Limited was a company responsible for developing and managing solutions for the safe disposal of the United Kingdom’s intermediate- and low-level radioactive waste.

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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610c1b57081909b603c41b3c0e5e0 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a850590819087b76e9ed16aee7e completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119c71d29c81909bc7875bad89ce29 completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119d55876481908bc905eb263f5660 completed May 23, 2026, 12:28 p.m.
Created at: April 26, 2026, 11:28 p.m.