Triple

T28012823
Position Surface form Disambiguated ID Type / Status
Subject Ainslie Street Terminal E707464 entity
Predicate streetAddress P606 FINISHED
Object Ainslie Street South
Ainslie Street South is a roadway in Cambridge, Ontario, that serves as a key access route to the Ainslie Street Terminal and the surrounding downtown area.
E2283294 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: Ainslie Street South | Statement: [Ainslie Street Terminal, streetAddress, Ainslie Street South]
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: Ainslie Street South
Triple: [Ainslie Street Terminal, streetAddress, Ainslie Street South]
Generated description
Ainslie Street South is a roadway in Cambridge, Ontario, that serves as a key access route to the Ainslie Street Terminal and the surrounding downtown area.

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_69ef96ba350c81908230d0b501b974c4 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63c045bd081908e0cb2a119202e8f completed May 2, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4249fe919c8190bbc04b96f01ec632 completed June 29, 2026, 10:33 a.m.
NEDg Description generation batch_6a424a8948608190b4607a67466c8372 completed June 29, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_6a424b5e8e9c8190818d0ef2f3f43398 completed June 29, 2026, 10:39 a.m.
Created at: April 27, 2026, 8:04 p.m.