Triple

T28935076
Position Surface form Disambiguated ID Type / Status
Subject Beach Grove Elementary School E733891 entity
Predicate locatedIn P40 FINISHED
Object Beach Grove neighbourhood
Beach Grove neighbourhood is a residential coastal community in Delta, British Columbia, known for its family-friendly atmosphere, local school, and proximity to beaches and natural areas.
E1843007 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: Beach Grove neighbourhood | Statement: [Beach Grove Elementary School, locatedIn, Beach Grove neighbourhood]
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: Beach Grove neighbourhood
Triple: [Beach Grove Elementary School, locatedIn, Beach Grove neighbourhood]
Generated description
Beach Grove neighbourhood is a residential coastal community in Delta, British Columbia, known for its family-friendly atmosphere, local school, and proximity to beaches and natural areas.

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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65b5521e88190bd1881a3feff5170 completed May 2, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec3fb37c8190bfe249fee2a379db completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f3a02a4881909dfca1752009c390 completed June 7, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a24f7d769e88190917a3690acdb3e73 completed June 7, 2026, 4:47 a.m.
Created at: April 28, 2026, 8:31 a.m.