Triple

T29771735
Position Surface form Disambiguated ID Type / Status
Subject Rolesville, North Carolina E755265 entity
Predicate hasEvent P811 FINISHED
Object Rolesville Christmas parade
The Rolesville Christmas parade is an annual holiday procession in Rolesville, North Carolina, featuring festive floats, local organizations, and seasonal entertainment for the community.
E15649 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: Rolesville Christmas parade | Statement: [Rolesville, North Carolina, hasEvent, Rolesville Christmas parade]
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: Rolesville Christmas parade
Triple: [Rolesville, North Carolina, hasEvent, Rolesville Christmas parade]
Generated description
The Rolesville Christmas parade is an annual holiday procession in Rolesville, North Carolina, featuring festive floats, local organizations, and seasonal entertainment for the community.

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_69f0ef878574819088c867fd1a5c8b86 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f67462f1a881909b30f47ed3f14e05 completed May 2, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8f771a481908597826cebc235aa completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26cce42b208190b30d28fe1e55105b completed June 8, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_6a26d421b5408190bfb77e624443fad8 completed June 8, 2026, 2:39 p.m.
Created at: April 28, 2026, 8:42 p.m.