Triple

T23892030
Position Surface form Disambiguated ID Type / Status
Subject Dodson, Oregon E600793 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Columbia River Highway
The Columbia River Highway is a historic scenic roadway in Oregon renowned for its dramatic views of the Columbia River Gorge, waterfalls, and carefully engineered stonework.
E1608461 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: Columbia River Highway | Statement: [Dodson, Oregon, hasNearbyLandmark, Columbia River Highway]
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: Columbia River Highway
Triple: [Dodson, Oregon, hasNearbyLandmark, Columbia River Highway]
Generated description
The Columbia River Highway is a historic scenic roadway in Oregon renowned for its dramatic views of the Columbia River Gorge, waterfalls, and carefully engineered stonework.

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_69e295341ac0819080647f2908af793c completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cd044708819091102ecc160e1961 completed April 29, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f76250a80819083a57975797978d9 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f780affcc819087dadc271b17a459 completed May 21, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7893346c81908879db417e4854d1 completed May 21, 2026, 9:26 p.m.
Created at: April 17, 2026, 8:25 p.m.