Triple

T24148414
Position Surface form Disambiguated ID Type / Status
Subject McLeod Lake E598455 entity
Predicate partOf P40 FINISHED
Object Rocky Mountain Trench lake system
The Rocky Mountain Trench lake system is a chain of interconnected lakes occupying the long, glacially carved Rocky Mountain Trench in western Canada.
E1619744 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: Rocky Mountain Trench lake system | Statement: [McLeod Lake, partOf, Rocky Mountain Trench lake system]
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: Rocky Mountain Trench lake system
Triple: [McLeod Lake, partOf, Rocky Mountain Trench lake system]
Generated description
The Rocky Mountain Trench lake system is a chain of interconnected lakes occupying the long, glacially carved Rocky Mountain Trench in western 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_69e288c9e488819093dd1acd91b08b8a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e00d252c8190a02bec29189baad0 completed April 29, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad2c4ec88190aa5f21a659f60af4 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae10893c819092a3ecd95b6b9198 completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf36d68881909ac3b5d6328efc8f completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 11:30 p.m.