Triple

T29369842
Position Surface form Disambiguated ID Type / Status
Subject Carmanah Valley E744823 entity
Predicate hasRiver P165 FINISHED
Object Carmanah River
Carmanah River is a remote river on Vancouver Island in British Columbia, Canada, known for flowing through the old-growth temperate rainforests of Carmanah Valley.
 E2293772 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: Carmanah River | Statement: [Carmanah Valley, hasRiver, Carmanah 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: Carmanah River
Triple: [Carmanah Valley, hasRiver, Carmanah River]
Generated description
Carmanah River is a remote river on Vancouver Island in British Columbia, Canada, known for flowing through the old-growth temperate rainforests of Carmanah Valley.

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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669a96e3c819093414c2132b4d1ed completed May 2, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7aff72c1ec81909debc8a1d89c5ce7 completed Aug. 11, 2026, 10:54 a.m.
NEDg Description generation batch_6a7b000c93f48190a1737cae84b92396 completed Aug. 11, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a7b005e2c9c8190a84be2b495abb0f9 completed Aug. 11, 2026, 10:58 a.m.
Created at: April 28, 2026, 2:26 p.m.