Triple

T37111268
Position Surface form Disambiguated ID Type / Status
Subject Windfields E918995 entity
Predicate adjacentTo P224 FINISHED
Object Bridle Path neighbourhood
The Bridle Path neighbourhood is an affluent residential area in Toronto, Ontario, known for its large luxury estates and status as one of Canada's wealthiest communities.
E2213724 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: Bridle Path neighbourhood | Statement: [Windfields, adjacentTo, Bridle Path 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: Bridle Path neighbourhood
Triple: [Windfields, adjacentTo, Bridle Path neighbourhood]
Generated description
The Bridle Path neighbourhood is an affluent residential area in Toronto, Ontario, known for its large luxury estates and status as one of Canada's wealthiest communities.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb3011df288190a2721c138dd24d53 completed May 6, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f6a137714819080b43fdf3d20851c completed June 27, 2026, 6:13 a.m.
NEDg Description generation batch_6a3f6b15e0b08190a9e901b395a20929 completed June 27, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3f6bafd8748190bf2856cbbebb7587 completed June 27, 2026, 6:20 a.m.
Created at: May 3, 2026, 4:14 p.m.