Triple

T26164277
Position Surface form Disambiguated ID Type / Status
Subject Keep Britain Tidy E654203 entity
Predicate notableCampaign P4656 FINISHED
Object Great British Spring Clean
The Great British Spring Clean is a nationwide annual litter-picking and environmental clean-up campaign in the UK that mobilizes volunteers to improve local public spaces.
 E654203 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: Great British Spring Clean | Statement: [Keep Britain Tidy, notableCampaign, Great British Spring Clean]
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: Great British Spring Clean
Triple: [Keep Britain Tidy, notableCampaign, Great British Spring Clean]
Generated description
The Great British Spring Clean is a nationwide annual litter-picking and environmental clean-up campaign in the UK that mobilizes volunteers to improve local public spaces.

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_69ee5b44391c81908bdbd8813ba9aa99 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c3d50208190ab0749009f70ffff completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127774cf8819096c8e465cf993063 completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1154581558819096023bab6c7e4c1e completed May 23, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_6a1155021a8c8190acf7aa793cf0f3c3 completed May 23, 2026, 7:19 a.m.
Created at: April 26, 2026, 8:31 p.m.