Triple

T27449321
Position Surface form Disambiguated ID Type / Status
Subject Mitchell County, Kansas E692388 entity
Predicate hasCommunity P2605 FINISHED
Object Glen Elder, Kansas
Glen Elder, Kansas is a small rural city in north-central Kansas known for its proximity to Glen Elder State Park and Waconda Lake, popular regional destinations for fishing, boating, and outdoor recreation.
E1971948 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, Kansas | Statement: [Mitchell County, Kansas, hasCommunity, Glen Elder, Kansas]
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, Kansas
Triple: [Mitchell County, Kansas, hasCommunity, Glen Elder, Kansas]
Generated description
Glen Elder, Kansas is a small rural city in north-central Kansas known for its proximity to Glen Elder State Park and Waconda Lake, popular regional destinations for fishing, boating, and outdoor recreation.

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.