Triple

T29517917

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mount Rainier National Park road system	`E748851`	entity
Predicate	includesRoad	`P85887`	FINISHED
Object	Westside Road Westside Road is a partially closed, former main access road in Mount Rainier National Park now primarily used for hiking and biking with views of the park’s western wilderness.	`E2293197`	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: Westside Road | Statement: [Mount Rainier National Park road system, includesRoad, Westside Road]

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: Westside Road
Triple: [Mount Rainier National Park road system, includesRoad, Westside Road]

Generated description

Westside Road is a partially closed, former main access road in Mount Rainier National Park now primarily used for hiking and biking with views of the park’s western wilderness.

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_69f0bd461c208190bec20bbf24e02cc5`	completed	April 28, 2026, 1:59 p.m.
NER	Named-entity recognition	`batch_69f66c65323c81909ea69757d4d77bd0`	completed	May 2, 2026, 9:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a7a7608a4b08190ab4e81879ec7d2ff`	completed	Aug. 11, 2026, 1:08 a.m.
NEDg	Description generation	`batch_6a7a764c9738819090f97477e2b9ad4f`	completed	Aug. 11, 2026, 1:09 a.m.
NED2	Entity disambiguation (via description)	`batch_6a7a7699b8a08190820146ef928575d5`	completed	Aug. 11, 2026, 1:10 a.m.

Created at: April 28, 2026, 4:38 p.m.