Triple

T31549669
Position Surface form Disambiguated ID Type / Status
Subject College Park (Toronto) commercial complex E804961 entity
Predicate region P40 FINISHED
Object Downtown Yonge area
The Downtown Yonge area is a major commercial and entertainment district in the heart of Toronto, known for its dense retail corridors, high-rise developments, and vibrant street life centered around Yonge Street.
E1970196 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: Downtown Yonge area | Statement: [College Park (Toronto) commercial complex, region, Downtown Yonge area]
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: Downtown Yonge area
Triple: [College Park (Toronto) commercial complex, region, Downtown Yonge area]
Generated description
The Downtown Yonge area is a major commercial and entertainment district in the heart of Toronto, known for its dense retail corridors, high-rise developments, and vibrant street life centered around Yonge Street.

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_69f348d11a048190a65eb8384a3754ac completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a7ab7fa881908d86baf5391a786e completed May 3, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b563249988190ad017b2063de21b4 completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b56e5e13881908dfb01d199fa9b9f completed June 12, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a2b70c031548190bd2e8f99f3243398 completed June 12, 2026, 2:36 a.m.
Created at: April 30, 2026, 10:10 p.m.