Triple

T38616934
Position Surface form Disambiguated ID Type / Status
Subject Marshall County, Minnesota E936750 entity
Predicate contains P35 FINISHED
Object Warren Township, Marshall County, Minnesota
Warren Township is a rural civil township located within Marshall County in northwestern Minnesota, United States.
E2278441 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: Warren Township, Marshall County, Minnesota | Statement: [Marshall County, Minnesota, contains, Warren Township, Marshall County, Minnesota]
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: Warren Township, Marshall County, Minnesota
Triple: [Marshall County, Minnesota, contains, Warren Township, Marshall County, Minnesota]
Generated description
Warren Township is a rural civil township located within Marshall County in northwestern Minnesota, United States.

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_69f76ed403208190b862dc795171353f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9768afc8190954d61c62e764fa0 completed May 7, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f447353481908292d76c8bf88b76 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f582da6081909e324be0d1abc76e completed June 29, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_6a41f6229fb8819099ba86f2db3ae6d1 completed June 29, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:32 p.m.