Triple

T26679092
Position Surface form Disambiguated ID Type / Status
Subject Saddle Butte E672554 entity
Predicate partOf P40 FINISHED
Object Oregon volcanic field
The Oregon volcanic field is a geologically active region in Oregon characterized by numerous volcanic features, including cinder cones, lava flows, and small shield volcanoes.
E1736383 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: Oregon volcanic field | Statement: [Saddle Butte, partOf, Oregon volcanic field]
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: Oregon volcanic field
Triple: [Saddle Butte, partOf, Oregon volcanic field]
Generated description
The Oregon volcanic field is a geologically active region in Oregon characterized by numerous volcanic features, including cinder cones, lava flows, and small shield volcanoes.

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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f617060fc8819095d063081288880d completed May 2, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec566c2081908868297ff736c4be completed May 23, 2026, 6:05 p.m.
NEDg Description generation batch_6a11f564de4c8190bc22d25b3d4c4409 completed May 23, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_6a11f5e3885c8190956b1d8fad1fb744 completed May 23, 2026, 6:45 p.m.
Created at: April 27, 2026, 3:18 a.m.