Triple

T30354177
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Utah E772099 entity
Predicate contains P35 FINISHED
Object Daggett County
Daggett County is a sparsely populated rural county in northeastern Utah known for its scenic landscapes, outdoor recreation, and proximity to Flaming Gorge National Recreation Area.
E2065935 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: Daggett County | Statement: [Northeastern Utah, contains, Daggett County]
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: Daggett County
Triple: [Northeastern Utah, contains, Daggett County]
Generated description
Daggett County is a sparsely populated rural county in northeastern Utah known for its scenic landscapes, outdoor recreation, and proximity to Flaming Gorge National Recreation Area.

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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6823cc2488190a733687581ca88a1 completed May 2, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c4e48c081909c89d9fc7a13b789 completed June 20, 2026, 9:24 a.m.
NEDg Description generation batch_6a365dcf9e188190984b5728842ec459 completed June 20, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a365f8e761c819088a969d0180fb5e7 completed June 20, 2026, 9:38 a.m.
Created at: April 29, 2026, 7:56 p.m.