Triple

T32685926
Position Surface form Disambiguated ID Type / Status
Subject Salt Spring Island E835723 entity
Predicate hasProvincialPark P7395 FINISHED
Object Ruckle Provincial Park
Ruckle Provincial Park is a coastal protected area on Salt Spring Island in British Columbia, known for its historic farmstead, shoreline trails, and scenic ocean views.
E2064420 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: Ruckle Provincial Park | Statement: [Salt Spring Island, hasProvincialPark, Ruckle Provincial 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: Ruckle Provincial Park
Triple: [Salt Spring Island, hasProvincialPark, Ruckle Provincial Park]
Generated description
Ruckle Provincial Park is a coastal protected area on Salt Spring Island in British Columbia, known for its historic farmstead, shoreline trails, and scenic ocean views.

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_69f3493211388190993801216afbc2a7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c81665688190bc0cde92cf4d619f completed May 3, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a365c53000481908785a857a852bf43 completed June 20, 2026, 9:24 a.m.
NEDg Description generation batch_6a365d415b94819095be28ce74f2e717 completed June 20, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a365db10b648190a22055323a8393f3 completed June 20, 2026, 9:30 a.m.
Created at: May 1, 2026, 1:09 a.m.