Triple

T23697458
Position Surface form Disambiguated ID Type / Status
Subject Mosakahiken Cree Nation E585486 entity
Predicate partOf P40 FINISHED
Object Cree Nations of Canada
The Cree Nations of Canada are a large group of Indigenous First Nations whose communities span much of Canada, sharing Cree language, culture, and historical ties across multiple provinces.
E1619098 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: Cree Nations of Canada | Statement: [Mosakahiken Cree Nation, partOf, Cree Nations of Canada]
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: Cree Nations of Canada
Triple: [Mosakahiken Cree Nation, partOf, Cree Nations of Canada]
Generated description
The Cree Nations of Canada are a large group of Indigenous First Nations whose communities span much of Canada, sharing Cree language, culture, and historical ties across multiple provinces.

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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b67f518481908d0f5b5e75b6ccd4 completed April 29, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36117124f88190888c4f153dd136df completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a361347ca5081908e42385d827cbe7e completed June 20, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a3613abb39881908fba9de844482934 completed June 20, 2026, 4:14 a.m.
Created at: April 17, 2026, 6:53 p.m.