Triple

T21035546
Position Surface form Disambiguated ID Type / Status
Subject Smoky River E518179 entity
Predicate hasTributary P415 FINISHED
Object Simonette River
The Simonette River is a waterway in western Alberta, Canada, known for flowing through forested and agricultural landscapes before joining the Smoky River within the Peace River basin.
E2285155 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: Simonette River | Statement: [Smoky River, hasTributary, Simonette 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: Simonette River
Triple: [Smoky River, hasTributary, Simonette River]
Generated description
The Simonette River is a waterway in western Alberta, Canada, known for flowing through forested and agricultural landscapes before joining the Smoky River within the Peace River basin.

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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a45030830e0819086aea974d7b7e85d completed July 1, 2026, 12:07 p.m.
NEDg Description generation batch_6a4506e718588190835a4bd44a4f15d3 completed July 1, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a453f3cc50881908a4274a365d7a1c9 completed July 1, 2026, 4:24 p.m.
Created at: April 16, 2026, 2:02 p.m.