Triple

T24142103
Position Surface form Disambiguated ID Type / Status
Subject Alouette Lake E598267 entity
Predicate inflows P4496 FINISHED
Object North Alouette River
The North Alouette River is a tributary waterway in British Columbia, Canada, that drains surrounding highlands and feeds into Alouette Lake within the Fraser Valley region.
E1633748 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 Alouette River | Statement: [Alouette Lake, inflows, North Alouette 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 Alouette River
Triple: [Alouette Lake, inflows, North Alouette River]
Generated description
The North Alouette River is a tributary waterway in British Columbia, Canada, that drains surrounding highlands and feeds into Alouette Lake within the Fraser Valley region.

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_69e288c92e448190ac57034fa0c863ce completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e00737c08190af7c62d0aab30571 completed April 29, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe33fb58481909d8e06087fd0508f completed May 22, 2026, 5:01 a.m.
NEDg Description generation batch_6a0fe3f19fec81909b7dd2fd9975336e completed May 22, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe46b72b48190b2c0d2d9ddaf3107 completed May 22, 2026, 5:06 a.m.
Created at: April 17, 2026, 11:28 p.m.