Triple

T35761873
Position Surface form Disambiguated ID Type / Status
Subject Gold Hill, North Carolina E1033596 entity
Predicate hasAttraction P105 FINISHED
Object Gold Hill Lutheran Church
Gold Hill Lutheran Church is a historic Christian congregation and church building in Gold Hill, North Carolina, serving as a local religious and community landmark.
E2156648 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: Gold Hill Lutheran Church | Statement: [Gold Hill, North Carolina, hasAttraction, Gold Hill Lutheran Church]
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: Gold Hill Lutheran Church
Triple: [Gold Hill, North Carolina, hasAttraction, Gold Hill Lutheran Church]
Generated description
Gold Hill Lutheran Church is a historic Christian congregation and church building in Gold Hill, North Carolina, serving as a local religious and community landmark.

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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c562848190ba1fe4f9cb7efa87 completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38915a6bd081908d6638afde1a31f7 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a3892bb6a988190872dc116c08f6226 completed June 22, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a389318ff248190b94e729cc46e55b5 completed June 22, 2026, 1:42 a.m.
Created at: May 3, 2026, 4:06 p.m.