Triple

T33188725
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Applied Sciences & Technology E849542 entity
Predicate hasCampus P116 FINISHED
Object Humber Carrier Drive location
Humber Carrier Drive location is a Humber College campus site associated with the Faculty of Applied Sciences & Technology, focused on technical and applied education.
E2040292 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: Humber Carrier Drive location | Statement: [Faculty of Applied Sciences & Technology, hasCampus, Humber Carrier Drive location]
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: Humber Carrier Drive location
Triple: [Faculty of Applied Sciences & Technology, hasCampus, Humber Carrier Drive location]
Generated description
Humber Carrier Drive location is a Humber College campus site associated with the Faculty of Applied Sciences & Technology, focused on technical and applied education.

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_69f3495e0f108190a6a7006f79f9c2c3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d9d0b63c81909a6b38f2526f2e31 completed May 3, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525d526808190b361138bf4094ce2 completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a3528be05148190914c665aea8d15eb completed June 19, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a352973378c8190ba922c5fde766680 completed June 19, 2026, 11:35 a.m.
Created at: May 1, 2026, 1:29 a.m.