Triple

T25066588
Position Surface form Disambiguated ID Type / Status
Subject Madras, Oregon E627798 entity
Predicate hasFacility P105 FINISHED
Object Jefferson County Fairgrounds
Jefferson County Fairgrounds is a local event and exhibition venue in Madras, Oregon, known for hosting the annual county fair and a variety of community gatherings, rodeos, and festivals.
E1661962 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: Jefferson County Fairgrounds | Statement: [Madras, Oregon, hasFacility, Jefferson County Fairgrounds]
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: Jefferson County Fairgrounds
Triple: [Madras, Oregon, hasFacility, Jefferson County Fairgrounds]
Generated description
Jefferson County Fairgrounds is a local event and exhibition venue in Madras, Oregon, known for hosting the annual county fair and a variety of community gatherings, rodeos, and festivals.

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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4599e14688190aa19833f62ffb283 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048d855388190bed563819f0d2c85 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a1049b747c48190a0b61cbd96172411 completed May 22, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a104a82de208190b720e5690a5094c0 completed May 22, 2026, 12:22 p.m.
Created at: April 18, 2026, 6:10 a.m.