Triple

T23892033
Position Surface form Disambiguated ID Type / Status
Subject Dodson, Oregon E600793 entity
Predicate locatedIn P40 FINISHED
Object Multnomah County Rural Area
Multnomah County Rural Area is a sparsely populated unincorporated region of Multnomah County, Oregon, characterized by small communities, natural landscapes, and limited urban development.
E1608462 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: Multnomah County Rural Area | Statement: [Dodson, Oregon, locatedIn, Multnomah County Rural Area]
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: Multnomah County Rural Area
Triple: [Dodson, Oregon, locatedIn, Multnomah County Rural Area]
Generated description
Multnomah County Rural Area is a sparsely populated unincorporated region of Multnomah County, Oregon, characterized by small communities, natural landscapes, and limited urban development.

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.