Triple

T32863297
Position Surface form Disambiguated ID Type / Status
Subject Cottonwood Canyon State Park E840576 entity
Predicate hasCampground P7502 FINISHED
Object Lone Tree Campground
Lone Tree Campground is a designated camping area within Cottonwood Canyon State Park in Oregon, offering campsites amid the park’s rugged, high-desert river canyon landscape.
E2024810 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: Lone Tree Campground | Statement: [Cottonwood Canyon State Park, hasCampground, Lone Tree Campground]
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: Lone Tree Campground
Triple: [Cottonwood Canyon State Park, hasCampground, Lone Tree Campground]
Generated description
Lone Tree Campground is a designated camping area within Cottonwood Canyon State Park in Oregon, offering campsites amid the park’s rugged, high-desert river canyon landscape.

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_6a34bd112ccc8190bd537f1fa1f11eab completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bd7697ec8190804bc4567d08cdc8 completed June 19, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_6a34bdf2f0e481909354fcb4eaec747a completed June 19, 2026, 3:56 a.m.
Created at: May 1, 2026, 1:17 a.m.