Triple

T24645333
Position Surface form Disambiguated ID Type / Status
Subject Taney County E610091 entity
Predicate hasUnincorporatedCommunity P6345 FINISHED
Object Ridgedale, Missouri
Ridgedale, Missouri is a small unincorporated community in southern Missouri known for its proximity to Table Rock Lake and the Branson tourism area.
E1649688 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: Ridgedale, Missouri | Statement: [Taney County, hasUnincorporatedCommunity, Ridgedale, Missouri]
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: Ridgedale, Missouri
Triple: [Taney County, hasUnincorporatedCommunity, Ridgedale, Missouri]
Generated description
Ridgedale, Missouri is a small unincorporated community in southern Missouri known for its proximity to Table Rock Lake and the Branson tourism area.

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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40f808a748190ab8ae16472daeabb completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bea192c819093983b3697e63227 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a1023d510088190951feb1674334957 completed May 22, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a10248cbd4c819084b6b6719bf2ab9a completed May 22, 2026, 9:40 a.m.
Created at: April 18, 2026, 2:33 a.m.