Triple

T29176377
Position Surface form Disambiguated ID Type / Status
Subject Toquaht Nation E739622 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Toquaht people
The Toquaht people are a Nuu-chah-nulth First Nation of Vancouver Island’s west coast, with a distinct culture, language, and governance rooted in their coastal territories in British Columbia, Canada.
E1859438 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: Toquaht people | Statement: [Toquaht Nation, hasEthnicGroup, Toquaht people]
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: Toquaht people
Triple: [Toquaht Nation, hasEthnicGroup, Toquaht people]
Generated description
The Toquaht people are a Nuu-chah-nulth First Nation of Vancouver Island’s west coast, with a distinct culture, language, and governance rooted in their coastal territories in British Columbia, Canada.

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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6634101ac8190b1d363da1b98b5f4 completed May 2, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25890f78ac8190af6d4c153dfde22a completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a259233f4208190bdefb1ebde8f61d0 completed June 7, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a25962fd5ac8190ac91ceda594059b1 completed June 7, 2026, 4:02 p.m.
Created at: April 28, 2026, 11:55 a.m.