Triple

T28012810
Position Surface form Disambiguated ID Type / Status
Subject Charles Street Terminal E707463 entity
Predicate street P959 FINISHED
Object Charles Street
Charles Street is a roadway in Kitchener, Ontario, known for hosting the Charles Street Terminal, a central hub for regional and local bus services.
 E2287698 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: Charles Street | Statement: [Charles Street Terminal, street, Charles Street]
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: Charles Street
Triple: [Charles Street Terminal, street, Charles Street]
Generated description
Charles Street is a roadway in Kitchener, Ontario, known for hosting the Charles Street Terminal, a central hub for regional and local bus services.

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_6a5a0c4d2de481908487bdaa2fdcbd72 completed July 17, 2026, 11:04 a.m.
NEDg Description generation batch_6a5a0d2b49108190977dc434f63f20b3 completed July 17, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a5a0e18fc7c8190b84670454596f9d7 completed July 17, 2026, 11:12 a.m.
Created at: April 27, 2026, 8:04 p.m.