Triple

T34101622
Position Surface form Disambiguated ID Type / Status
Subject Mitcham Common E874585 entity
Predicate partOf P40 FINISHED
Object Wandle Valley regional park area
Wandle Valley regional park area is a large green corridor in South London that follows the River Wandle, encompassing parks, commons, and nature reserves across several boroughs.
E2081566 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: Wandle Valley regional park area | Statement: [Mitcham Common, partOf, Wandle Valley regional park area]
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: Wandle Valley regional park area
Triple: [Mitcham Common, partOf, Wandle Valley regional park area]
Generated description
Wandle Valley regional park area is a large green corridor in South London that follows the River Wandle, encompassing parks, commons, and nature reserves across several boroughs.

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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c692af8819084489cd50607ca1b completed May 3, 2026, 8:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae622c448190917e3b269eb76f74 completed June 20, 2026, 3:14 p.m.
NEDg Description generation batch_6a36afa4a1d88190808eb433b07dc007 completed June 20, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_6a36b028068c81909eb48054b7856ef9 completed June 20, 2026, 3:22 p.m.
Created at: May 1, 2026, 1:53 a.m.