Triple

T26639922
Position Surface form Disambiguated ID Type / Status
Subject Hot Springs, South Dakota E668749 entity
Predicate hasAttraction P105 FINISHED
Object Evans Plunge Mineral Springs
Evans Plunge Mineral Springs is a historic indoor swimming and recreation facility built around naturally warm mineral springs in Hot Springs, South Dakota.
E1736357 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: Evans Plunge Mineral Springs | Statement: [Hot Springs, South Dakota, hasAttraction, Evans Plunge Mineral Springs]
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: Evans Plunge Mineral Springs
Triple: [Hot Springs, South Dakota, hasAttraction, Evans Plunge Mineral Springs]
Generated description
Evans Plunge Mineral Springs is a historic indoor swimming and recreation facility built around naturally warm mineral springs in Hot Springs, South Dakota.

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_69ee9d0024b8819090a7c8cf669a3b6c completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f616313e788190b2d72b07960f4466 completed May 2, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec3d3fc48190a96f091635f93b88 completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11f336de248190b43b638c85e1a362 completed May 23, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11f3b0987881908d58741b133d3296 completed May 23, 2026, 6:36 p.m.
Created at: April 27, 2026, 2:28 a.m.