Triple

T27449346
Position Surface form Disambiguated ID Type / Status
Subject Mitchell County, Kansas E692388 entity
Predicate hasRecreationArea P5383 FINISHED
Object Glen Elder State Park
Glen Elder State Park is a Kansas state park and popular outdoor recreation destination known for camping, fishing, boating, and wildlife viewing around Waconda Lake.
E1971949 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: Glen Elder State Park | Statement: [Mitchell County, Kansas, hasRecreationArea, Glen Elder State Park]
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: Glen Elder State Park
Triple: [Mitchell County, Kansas, hasRecreationArea, Glen Elder State Park]
Generated description
Glen Elder State Park is a Kansas state park and popular outdoor recreation destination known for camping, fishing, boating, and wildlife viewing around Waconda Lake.

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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc4980481909e303ade433c7d61 completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79a5badc8190bbb878f181664757 completed June 12, 2026, 3:14 a.m.
NEDg Description generation batch_6a2b7a866a408190a377ebe1dfb4b162 completed June 12, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b5699c48190b83c080aa685a7b4 completed June 12, 2026, 3:21 a.m.
Created at: April 27, 2026, 12:47 p.m.