Triple

T33018111
Position Surface form Disambiguated ID Type / Status
Subject Granville Island E844829 entity
Predicate hasTransport P1298 FINISHED
Object Aquabus ferry
The Aquabus ferry is a small passenger boat service that provides short, frequent water transit across Vancouver’s False Creek, connecting destinations such as Granville Island with nearby waterfront neighborhoods.
E2033026 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: Aquabus ferry | Statement: [Granville Island, hasTransport, Aquabus ferry]
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: Aquabus ferry
Triple: [Granville Island, hasTransport, Aquabus ferry]
Generated description
The Aquabus ferry is a small passenger boat service that provides short, frequent water transit across Vancouver’s False Creek, connecting destinations such as Granville Island with nearby waterfront neighborhoods.

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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2ad8ae081908c100fafc970f178 completed May 3, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dadb626081909bb5938591359d87 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34dd3ccba48190a7ad7e5c57c5e609 completed June 19, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a34ddaa95a88190a00840810b4013f6 completed June 19, 2026, 6:11 a.m.
Created at: May 1, 2026, 1:23 a.m.