Triple

T38524679
Position Surface form Disambiguated ID Type / Status
Subject Ossington Avenue E922593 entity
Predicate publicTransitServedBy P20704 FINISHED
Object Ossington 63 bus route
The Ossington 63 bus route is a Toronto Transit Commission surface bus line that runs along Ossington Avenue, connecting neighborhoods between the Bloor–Danforth subway and the waterfront.
E2273316 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: Ossington 63 bus route | Statement: [Ossington Avenue, publicTransitServedBy, Ossington 63 bus route]
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: Ossington 63 bus route
Triple: [Ossington Avenue, publicTransitServedBy, Ossington 63 bus route]
Generated description
The Ossington 63 bus route is a Toronto Transit Commission surface bus line that runs along Ossington Avenue, connecting neighborhoods between the Bloor–Danforth subway and the waterfront.

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_69f76ea5f5588190bd0b28c82e975640 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd2b4cd58819098ab421391de7dc4 completed May 7, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d66c485c819096caa1500b98d948 completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41d83aa4608190a7653d27db73a83e completed June 29, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_6a41d8a9909c8190b63e045c586c7a39 completed June 29, 2026, 2:30 a.m.
Created at: May 3, 2026, 4:32 p.m.