Triple

T33074936
Position Surface form Disambiguated ID Type / Status
Subject Sumpter, Oregon E846332 entity
Predicate near P350 FINISHED
Object Whitman National Forest
Whitman National Forest was a former U.S. National Forest in northeastern Oregon, later merged into the Wallowa–Whitman National Forest, known for its mountainous terrain, forests, and outdoor recreation opportunities.
E2286392 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: Whitman National Forest | Statement: [Sumpter, Oregon, near, Whitman National Forest]
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: Whitman National Forest
Triple: [Sumpter, Oregon, near, Whitman National Forest]
Generated description
Whitman National Forest was a former U.S. National Forest in northeastern Oregon, later merged into the Wallowa–Whitman National Forest, known for its mountainous terrain, forests, and outdoor recreation opportunities.

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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d3b236308190ae46b2062bd10da3 completed May 3, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a46ae99ae2881908cf69b2950341737 completed July 2, 2026, 6:31 p.m.
NEDg Description generation batch_6a46af74a4b481908cb0b9386789bbc7 completed July 2, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_6a46afcdcb1481908eb6b8f36e1acec2 completed July 2, 2026, 6:37 p.m.
Created at: May 1, 2026, 1:25 a.m.