Triple

T28012894
Position Surface form Disambiguated ID Type / Status
Subject University of Waterloo ION station E707466 entity
Predicate adjacentStation P5707 FINISHED
Object Research and Technology ION station
Research and Technology ION station is a light rail transit stop on the ION rapid transit line in Waterloo, Ontario, serving the nearby research parks and technology-focused institutions.
 E1799341 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: Research and Technology ION station | Statement: [University of Waterloo ION station, adjacentStation, Research and Technology ION station]
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: Research and Technology ION station
Triple: [University of Waterloo ION station, adjacentStation, Research and Technology ION station]
Generated description
Research and Technology ION station is a light rail transit stop on the ION rapid transit line in Waterloo, Ontario, serving the nearby research parks and technology-focused institutions.

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_6a15b89f792c81908726ef846c61f2c5 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15ba7bfa288190ae476695e52a4398 completed May 26, 2026, 3:21 p.m.
NED2 Entity disambiguation (via description) batch_6a15bbab614c81908b86ec6c4043e1d0 completed May 26, 2026, 3:26 p.m.
Created at: April 27, 2026, 8:05 p.m.