Triple

T26584670
Position Surface form Disambiguated ID Type / Status
Subject Kansas Secretary of State E667174 entity
Predicate memberOf P10 FINISHED
Object Kansas State Board of Canvassers
The Kansas State Board of Canvassers is the state body responsible for certifying and overseeing the official results of elections in Kansas.
E1732018 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: Kansas State Board of Canvassers | Statement: [Kansas Secretary of State, memberOf, Kansas State Board of Canvassers]
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: Kansas State Board of Canvassers
Triple: [Kansas Secretary of State, memberOf, Kansas State Board of Canvassers]
Generated description
The Kansas State Board of Canvassers is the state body responsible for certifying and overseeing the official results of elections in Kansas.

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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614e47cdc81909786f92cc0d5965f completed May 2, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c8352ef481909f1268e4dd1f1b5c completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11c97a0b8c8190930222a24b8ef5be completed May 23, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca6f162c8190a8c7fbc1e188ea90 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 2:05 a.m.