Triple

T24142105
Position Surface form Disambiguated ID Type / Status
Subject Alouette Lake E598267 entity
Predicate outflow P967 FINISHED
Object South Alouette River
The South Alouette River is a river in British Columbia, Canada, that flows westward from the Coast Mountains through Maple Ridge before joining the Pitt River.
E1646489 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: South Alouette River | Statement: [Alouette Lake, outflow, South 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: South Alouette River
Triple: [Alouette Lake, outflow, South Alouette River]
Generated description
The South Alouette River is a river in British Columbia, Canada, that flows westward from the Coast Mountains through Maple Ridge before joining the Pitt River.

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_6a100fd0268481909db61370fe294aa2 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10138b45648190ba35124148ba7cf2 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10143c5c84819081dd4f953fa9841a completed May 22, 2026, 8:30 a.m.
Created at: April 17, 2026, 11:28 p.m.