Triple

T32492636
Position Surface form Disambiguated ID Type / Status
Subject Shooters Hill E830428 entity
Predicate hasConservationArea P855 FINISHED
Object Shrewsbury Park Conservation Area
Shrewsbury Park Conservation Area is a protected green space and historic landscape on Shooters Hill in southeast London, valued for its natural habitats, scenic views, and heritage character.
E2008236 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: Shrewsbury Park Conservation Area | Statement: [Shooters Hill, hasConservationArea, Shrewsbury Park Conservation 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: Shrewsbury Park Conservation Area
Triple: [Shooters Hill, hasConservationArea, Shrewsbury Park Conservation Area]
Generated description
Shrewsbury Park Conservation Area is a protected green space and historic landscape on Shooters Hill in southeast London, valued for its natural habitats, scenic views, and heritage character.

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_69f34920aa4081908d8fb0277414b911 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c4087e048190884d3902fdc81aa5 completed May 3, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3466a9b1f88190bdf91016007b984c completed June 18, 2026, 9:44 p.m.
NEDg Description generation batch_6a3468112b0c819084fff468a94420ad completed June 18, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3468d7b1e08190ba5fa17f9e3547aa completed June 18, 2026, 9:53 p.m.
Created at: May 1, 2026, 12:59 a.m.