Triple

T27453708
Position Surface form Disambiguated ID Type / Status
Subject Colliers Wood E692522 entity
Predicate hasGreenSpace P1495 FINISHED
Object Wandle Meadow Nature Park
Wandle Meadow Nature Park is a small urban nature reserve along the River Wandle in Colliers Wood, London, known for its wetlands, wildlife habitats, and riverside walking paths.
E1771889 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 Meadow Nature Park | Statement: [Colliers Wood, hasGreenSpace, Wandle Meadow Nature Park]
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 Meadow Nature Park
Triple: [Colliers Wood, hasGreenSpace, Wandle Meadow Nature Park]
Generated description
Wandle Meadow Nature Park is a small urban nature reserve along the River Wandle in Colliers Wood, London, known for its wetlands, wildlife habitats, and riverside walking paths.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc7c830819092e3f52733c8f60e completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b260e6f481909076075270653c1c completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b32353248190ac509d73a9910602 completed May 24, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a12b3c695a0819099113dba54710362 completed May 24, 2026, 8:16 a.m.
Created at: April 27, 2026, 12:48 p.m.