Triple

T34821689
Position Surface form Disambiguated ID Type / Status
Subject Greensburg, Kansas E1003793 entity
Predicate hasMuseum P105 FINISHED
Object Kiowa County Historical Museum
The Kiowa County Historical Museum is a local history museum in Greensburg, Kansas, preserving and interpreting the heritage, artifacts, and stories of Kiowa County and its communities.
E2112743 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: Kiowa County Historical Museum | Statement: [Greensburg, Kansas, hasMuseum, Kiowa County Historical Museum]
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: Kiowa County Historical Museum
Triple: [Greensburg, Kansas, hasMuseum, Kiowa County Historical Museum]
Generated description
The Kiowa County Historical Museum is a local history museum in Greensburg, Kansas, preserving and interpreting the heritage, artifacts, and stories of Kiowa County and its communities.

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_69f76db717088190811b4e744610f37d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77addb72c81909331e94d2f0f6b62 completed May 3, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fbba43881909219c2c6a8730cfc completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37704fb6948190b7e025cfe56a1ee4 completed June 21, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_6a377178c0b88190b9182e381ed323da completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 4 p.m.