Triple

T27168352
Position Surface form Disambiguated ID Type / Status
Subject Arrow Valley Country Park E682837 entity
Predicate hasFeature P182 FINISHED
Object Arrow Valley Lake
Arrow Valley Lake is a large man-made lake in Redditch, Worcestershire, serving as the central recreational and wildlife feature of Arrow Valley Country Park.
E2297273 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: Arrow Valley Lake | Statement: [Arrow Valley Country Park, hasFeature, Arrow Valley Lake]
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: Arrow Valley Lake
Triple: [Arrow Valley Country Park, hasFeature, Arrow Valley Lake]
Generated description
Arrow Valley Lake is a large man-made lake in Redditch, Worcestershire, serving as the central recreational and wildlife feature of Arrow Valley Country Park.

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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625451be88190b9b2c24b3d50e09c completed May 2, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a834a5914ec8190bb4d3728bfa42f15 completed Aug. 17, 2026, 5:52 p.m.
NEDg Description generation batch_6a834ae4f14c81909ab48baa3bfae95c completed Aug. 17, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a834b4820e481909d3f879c26563e2c completed Aug. 17, 2026, 5:56 p.m.
Created at: April 27, 2026, 9:22 a.m.