Triple

T37111812
Position Surface form Disambiguated ID Type / Status
Subject Minnesota state forest system E919009 entity
Predicate hasPart P35 FINISHED
Object Hill River State Forest
Hill River State Forest is a protected woodland and recreation area in Minnesota known for its forests, wildlife habitat, and outdoor activities such as hunting, hiking, and snowmobiling.
 E2221803 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: Hill River State Forest | Statement: [Minnesota state forest system, hasPart, Hill River 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: Hill River State Forest
Triple: [Minnesota state forest system, hasPart, Hill River State Forest]
Generated description
Hill River State Forest is a protected woodland and recreation area in Minnesota known for its forests, wildlife habitat, and outdoor activities such as hunting, hiking, and snowmobiling.

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_6a40637503ec8190b54abd860ef00717 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a4064b46ae48190b0949d72795badd6 completed June 28, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a40651995508190a458b790a90bd3aa completed June 28, 2026, 12:04 a.m.
Created at: May 3, 2026, 4:14 p.m.