Triple

T24652208

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ruby Mountains, Elko County, Nevada	`E610280`	entity
Predicate	contains	`P35`	FINISHED
Object	Seitz Canyon Seitz Canyon is a scenic glacially carved canyon in the Ruby Mountains of Elko County, Nevada, known for its rugged terrain, alpine scenery, and hiking opportunities.	`E1720218`	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: Seitz Canyon | Statement: [Ruby Mountains, Elko County, Nevada, contains, Seitz Canyon]

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: Seitz Canyon
Triple: [Ruby Mountains, Elko County, Nevada, contains, Seitz Canyon]

Generated description

Seitz Canyon is a scenic glacially carved canyon in the Ruby Mountains of Elko County, Nevada, known for its rugged terrain, alpine scenery, and hiking 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_69e2c4d350a481909170482bc2ce6af9`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f40f87337481909ce868ba29ecdf85`	completed	May 1, 2026, 2:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a119a15579c81908d9b373767f7fc08`	completed	May 23, 2026, 12:14 p.m.
NEDg	Description generation	`batch_6a119abb744c8190be56b28fc5f9a642`	completed	May 23, 2026, 12:16 p.m.
NED2	Entity disambiguation (via description)	`batch_6a119b8de8e08190bcde7ef4efcf64a6`	completed	May 23, 2026, 12:20 p.m.

Created at: April 18, 2026, 2:34 a.m.