Triple

T18074941
Position Surface form Disambiguated ID Type / Status
Subject Dehcho Region E432530 entity
Predicate hasSettlement P1068 FINISHED
Object Trout Lake
Trout Lake is a small, remote community in Canada’s Northwest Territories, located within the Dehcho Region and traditionally associated with the Dene people.
E2011531 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: Trout Lake | Statement: [Dehcho Region, hasSettlement, Trout Lake]
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: Trout Lake
Triple: [Dehcho Region, hasSettlement, Trout Lake]
Generated description
Trout Lake is a small, remote community in Canada’s Northwest Territories, located within the Dehcho Region and traditionally associated with the Dene people.

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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f40c9881909294d538c026d486 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a347b58dddc8190aab2de72eb89b6d4 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347c11d6ec81908f07166c31ad186e completed June 18, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a347d15599881909cd7c3d57ef13da0 completed June 18, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:26 a.m.