Triple

T24160763
Position Surface form Disambiguated ID Type / Status
Subject Hiawassee, Georgia E598829 entity
Predicate hasAttraction P105 FINISHED
Object Georgia Mountain Fairgrounds
Georgia Mountain Fairgrounds is a popular North Georgia event venue known for hosting the annual Georgia Mountain Fair, concerts, and festivals against a scenic lakeside and mountain backdrop.
E1620955 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: Georgia Mountain Fairgrounds | Statement: [Hiawassee, Georgia, hasAttraction, Georgia Mountain 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: Georgia Mountain Fairgrounds
Triple: [Hiawassee, Georgia, hasAttraction, Georgia Mountain Fairgrounds]
Generated description
Georgia Mountain Fairgrounds is a popular North Georgia event venue known for hosting the annual Georgia Mountain Fair, concerts, and festivals against a scenic lakeside and mountain backdrop.

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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e8b8c481908390c2dcff4e856b completed April 29, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad35f5a88190a840bc19d3127f58 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae10893c819092a3ecd95b6b9198 completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf345eac8190b8a648c3add470bd completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 11:32 p.m.