Triple

T36387341
Position Surface form Disambiguated ID Type / Status
Subject Barnes County, North Dakota E896230 entity
Predicate contains P35 FINISHED
Object Spiritwood Lake, North Dakota
Spiritwood Lake, North Dakota is a small lakeside community in Barnes County known for its recreational opportunities and rural residential setting.
E2182500 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: Spiritwood Lake, North Dakota | Statement: [Barnes County, North Dakota, contains, Spiritwood Lake, 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: Spiritwood Lake, North Dakota
Triple: [Barnes County, North Dakota, contains, Spiritwood Lake, North Dakota]
Generated description
Spiritwood Lake, North Dakota is a small lakeside community in Barnes County known for its recreational opportunities and rural residential setting.

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_69f76e52e3108190becf70b090ae7bd6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bcd65000819096cac21525568c8d completed May 3, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b4366538819096c503648abacf89 completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b56743d481909ee8941921741b06 completed June 22, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a39b60f7a908190b2047a12fcbee88e completed June 22, 2026, 10:24 p.m.
Created at: May 3, 2026, 4:10 p.m.