Triple

T23720317
Position Surface form Disambiguated ID Type / Status
Subject Two-thousanders of Canada E586122 entity
Predicate hasNotableExample P1259 FINISHED
Object Whistler Mountain (Alberta)
Whistler Mountain in Alberta is a prominent peak in the Canadian Rockies known for its alpine scenery and hiking opportunities within Jasper National Park.
E1608758 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: Whistler Mountain (Alberta) | Statement: [Two-thousanders of Canada, hasNotableExample, Whistler Mountain (Alberta)]
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: Whistler Mountain (Alberta)
Triple: [Two-thousanders of Canada, hasNotableExample, Whistler Mountain (Alberta)]
Generated description
Whistler Mountain in Alberta is a prominent peak in the Canadian Rockies known for its alpine scenery and hiking opportunities within Jasper National Park.

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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b910759c8190be189db3e86d7258 completed April 29, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7602273081908f33fe5d18456277 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c5e978819086792ca6d9835ff9 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 7 p.m.