Triple

T33523435
Position Surface form Disambiguated ID Type / Status
Subject St. Johns, Portland, Oregon E858572 entity
Predicate hasLandmark P105 FINISHED
Object Baltimore Woods Natural Area
Baltimore Woods Natural Area is an urban natural preserve in the St. Johns neighborhood of Portland, Oregon, known for its forested habitat, trails, and local wildlife.
E2054976 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: Baltimore Woods Natural Area | Statement: [St. Johns, Portland, Oregon, hasLandmark, Baltimore Woods Natural 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: Baltimore Woods Natural Area
Triple: [St. Johns, Portland, Oregon, hasLandmark, Baltimore Woods Natural Area]
Generated description
Baltimore Woods Natural Area is an urban natural preserve in the St. Johns neighborhood of Portland, Oregon, known for its forested habitat, trails, and local wildlife.

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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f69c6f2481908e4bcff4bd135b0f completed May 3, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35a679397881908eeeb6b1b67719ec completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a6e0c54c8190ad13408c355543ab completed June 19, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7da68bc819090b95df78ec28e57 completed June 19, 2026, 8:34 p.m.
Created at: May 1, 2026, 1:39 a.m.