Triple

T27926423
Position Surface form Disambiguated ID Type / Status
Subject Regional District of Mount Waddington E707848 entity
Predicate containsCommunity P8617 FINISHED
Object Nimpkish
Nimpkish is a small community in northern Vancouver Island, British Columbia, historically associated with logging and the nearby Nimpkish River and lake system.
E1795500 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: Nimpkish | Statement: [Regional District of Mount Waddington, containsCommunity, Nimpkish]
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: Nimpkish
Triple: [Regional District of Mount Waddington, containsCommunity, Nimpkish]
Generated description
Nimpkish is a small community in northern Vancouver Island, British Columbia, historically associated with logging and the nearby Nimpkish River and lake 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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a6126788190a6dc3e67db7f7ebb completed May 2, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131154cf7c8190b61c68eb0deb90d6 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a131253a5b881908926cc8cda30ca43 completed May 24, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a1312bc28588190953574f63b60dd78 completed May 24, 2026, 3:01 p.m.
Created at: April 27, 2026, 7 p.m.