Triple

T26222898
Position Surface form Disambiguated ID Type / Status
Subject Peel, Arkansas E655809 entity
Predicate isInUSCounty P23957 FINISHED
Object Marion County
Marion County is a rural county in north-central Arkansas known for its Ozark Mountain landscapes and outdoor recreation opportunities near Bull Shoals Lake and the White River.
E1715449 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: Marion County | Statement: [Peel, Arkansas, isInUSCounty, Marion County]
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: Marion County
Triple: [Peel, Arkansas, isInUSCounty, Marion County]
Generated description
Marion County is a rural county in north-central Arkansas known for its Ozark Mountain landscapes and outdoor recreation opportunities near Bull Shoals Lake and the White River.

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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d5127d48190b28c89797f2852f2 completed May 2, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118591cc448190b0ba8459f813f58c completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11863d1c3881909b35d2859710d956 completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a11871f0f9c81908b836c8d759bf8dc completed May 23, 2026, 10:53 a.m.
Created at: April 26, 2026, 8:56 p.m.