Triple

T32863282
Position Surface form Disambiguated ID Type / Status
Subject Cottonwood Canyon State Park E840576 entity
Predicate feature P374 FINISHED
Object John Day River canyon
The John Day River canyon is a dramatic, rugged river gorge in north-central Oregon known for its striking basalt cliffs, desert scenery, and rich geological and paleontological history.
E2027713 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: John Day River canyon | Statement: [Cottonwood Canyon State Park, feature, John Day River canyon]
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: John Day River canyon
Triple: [Cottonwood Canyon State Park, feature, John Day River canyon]
Generated description
The John Day River canyon is a dramatic, rugged river gorge in north-central Oregon known for its striking basalt cliffs, desert scenery, and rich geological and paleontological history.

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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ceb8306c8190afe006e5522f63be completed May 3, 2026, 4:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c67a82748190939936dab4a97543 completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c8226bac81909eed319bf6b97197 completed June 19, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_6a34c93dd1d48190b67b29c885246998 completed June 19, 2026, 4:44 a.m.
Created at: May 1, 2026, 1:17 a.m.