Triple

T27710277
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin State Fair E698657 entity
Predicate organizer P123 FINISHED
Object Wisconsin State Fair Park Board
The Wisconsin State Fair Park Board is the governing body responsible for overseeing and managing the operations, facilities, and events at the Wisconsin State Fair Park.
E1785683 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: Wisconsin State Fair Park Board | Statement: [Wisconsin State Fair, organizer, Wisconsin State Fair Park Board]
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: Wisconsin State Fair Park Board
Triple: [Wisconsin State Fair, organizer, Wisconsin State Fair Park Board]
Generated description
The Wisconsin State Fair Park Board is the governing body responsible for overseeing and managing the operations, facilities, and events at the Wisconsin State Fair Park.

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_69ef590f655c81909f93893b3b3219b2 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f635cb7bfc81908bc5f45e6ab36aae completed May 2, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e4615da081908cd4c790e4363e61 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e51506ac8190bc8cac0bad87dad5 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5e1eafc8190912e291b91690548 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 3:01 p.m.