Triple

T25171507
Position Surface form Disambiguated ID Type / Status
Subject Former Canadian Forces Base Downsview E630332 entity
Predicate partOf P40 FINISHED
Object Canadian Forces Base system
The Canadian Forces Base system is the nationwide network of military installations operated by the Canadian Armed Forces for training, operations, and support.
 E1668781 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: Canadian Forces Base system | Statement: [Former Canadian Forces Base Downsview, partOf, Canadian Forces Base system]
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: Canadian Forces Base system
Triple: [Former Canadian Forces Base Downsview, partOf, Canadian Forces Base system]
Generated description
The Canadian Forces Base system is the nationwide network of military installations operated by the Canadian Armed Forces for training, operations, and support.

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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d47886c81908507ce1d55e5643c completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d17bb8c8190988ddd0e08da5ab3 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105f7fdd6081909dba228f0e160acd completed May 22, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a105ffdbf2c8190a55bd26536db8248 completed May 22, 2026, 1:54 p.m.
Created at: April 21, 2026, 12:20 p.m.