Triple

T29877542
Position Surface form Disambiguated ID Type / Status
Subject McKenzie County E758781 entity
Predicate borders P224 FINISHED
Object Golden Valley County, North Dakota
Golden Valley County, North Dakota is a sparsely populated county in the western part of the state known for its rural agricultural landscape and proximity to the Badlands.
E1977230 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: Golden Valley County, North Dakota | Statement: [McKenzie County, borders, Golden Valley County, North Dakota]
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: Golden Valley County, North Dakota
Triple: [McKenzie County, borders, Golden Valley County, North Dakota]
Generated description
Golden Valley County, North Dakota is a sparsely populated county in the western part of the state known for its rural agricultural landscape and proximity to the Badlands.

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_69f2245d0d7081909e37ee328542bcd7 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676caee048190952d49763046a768 completed May 2, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d269fc88190b07fe448a88a726e completed June 13, 2026, 6:10 p.m.
NEDg Description generation batch_6a2d9e2593f4819092c89187e84af3c9 completed June 13, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9f083f0481909184bb37c1ce0e7a completed June 13, 2026, 6:18 p.m.
Created at: April 29, 2026, 5:56 p.m.