Triple

T37111807
Position Surface form Disambiguated ID Type / Status
Subject Minnesota state forest system E919009 entity
Predicate hasPart P35 FINISHED
Object Lake of the Woods State Forest
Lake of the Woods State Forest is a public forest in northern Minnesota known for its remote boreal woodlands, abundant wildlife, and outdoor recreation opportunities near the Canadian border.
E2223771 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: Lake of the Woods State Forest | Statement: [Minnesota state forest system, hasPart, Lake of the Woods State Forest]
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: Lake of the Woods State Forest
Triple: [Minnesota state forest system, hasPart, Lake of the Woods State Forest]
Generated description
Lake of the Woods State Forest is a public forest in northern Minnesota known for its remote boreal woodlands, abundant wildlife, and outdoor recreation opportunities near the Canadian border.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb3011df288190a2721c138dd24d53 completed May 6, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406cc118608190ab84c4e35f5ec72e completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406defac38819086c2585b63b93dde completed June 28, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_6a406e7763b081908b37db6d670f2084 completed June 28, 2026, 12:44 a.m.
Created at: May 3, 2026, 4:14 p.m.