Triple

T29642475
Position Surface form Disambiguated ID Type / Status
Subject Nanaimo River E755898 entity
Predicate hasTributary P415 FINISHED
Object North Nanaimo River
The North Nanaimo River is a tributary watercourse in British Columbia, Canada, that feeds into the larger Nanaimo River system.
 E755898 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: North Nanaimo River | Statement: [Nanaimo River, hasTributary, North Nanaimo River]
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: North Nanaimo River
Triple: [Nanaimo River, hasTributary, North Nanaimo River]
Generated description
The North Nanaimo River is a tributary watercourse in British Columbia, Canada, that feeds into the larger Nanaimo River system.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66ed0653c819085adda918bd12f83 completed May 2, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721d442b0819087f07e25f18a922b completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2723656f888190b66e470c94c4e03f completed June 8, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a2723e6c6648190801fec9c9fd7f557 completed June 8, 2026, 8:19 p.m.
Created at: April 28, 2026, 6:47 p.m.