Triple

T25608410
Position Surface form Disambiguated ID Type / Status
Subject Elk Creek Visitor Center E641975 entity
Predicate nearbyFeature P2064 FINISHED
Object Gunnison River canyon
Gunnison River canyon is a dramatic, steep-walled gorge in western Colorado known for its rugged scenery, deep chasms, and outdoor recreation opportunities such as hiking, fishing, and river rafting.
 E1707706 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: Gunnison River canyon | Statement: [Elk Creek Visitor Center, nearbyFeature, Gunnison 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: Gunnison River canyon
Triple: [Elk Creek Visitor Center, nearbyFeature, Gunnison River canyon]
Generated description
Gunnison River canyon is a dramatic, steep-walled gorge in western Colorado known for its rugged scenery, deep chasms, and outdoor recreation opportunities such as hiking, fishing, and river rafting.

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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9e0d2e88190b51e1eded1627f94 completed May 2, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111ae9a4b48190b3e0c7baf956a9d1 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111d1eb3788190990ca419c1aea4c0 completed May 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a111d5243e48190900c6296f6c40b9c completed May 23, 2026, 3:21 a.m.
Created at: April 21, 2026, 4:40 p.m.