Triple

T26483414
Position Surface form Disambiguated ID Type / Status
Subject Adair County Sheriff’s Office E664753 entity
Predicate partOf P40 FINISHED
Object Adair County government
Adair County government is the local administrative authority responsible for governing Adair County, overseeing public services, law enforcement, and county-wide policies and regulations.
E1726988 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: Adair County government | Statement: [Adair County Sheriff’s Office, partOf, Adair County government]
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: Adair County government
Triple: [Adair County Sheriff’s Office, partOf, Adair County government]
Generated description
Adair County government is the local administrative authority responsible for governing Adair County, overseeing public services, law enforcement, and county-wide policies and regulations.

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_69ee883bc85481909885f92415cbce33 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612fd2bdc8190b5f8bcd31b57186f completed May 2, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb259fa88190b27df38e83bde112 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60526c8190b073317c2a4e514b completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf2f222c8190ae2e6bcb73204856 completed May 23, 2026, 2:52 p.m.
Created at: April 27, 2026, 12:28 a.m.