Triple

T24740909
Position Surface form Disambiguated ID Type / Status
Subject South Harting E618553 entity
Predicate hasHistoricBuilding P1098 FINISHED
Object St Mary and St Gabriel Church
St Mary and St Gabriel Church is a historic parish church in South Harting, West Sussex, noted for its medieval origins and traditional English village-church architecture.
E1678004 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: St Mary and St Gabriel Church | Statement: [South Harting, hasHistoricBuilding, St Mary and St Gabriel 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: St Mary and St Gabriel Church
Triple: [South Harting, hasHistoricBuilding, St Mary and St Gabriel Church]
Generated description
St Mary and St Gabriel Church is a historic parish church in South Harting, West Sussex, noted for its medieval origins and traditional English village-church architecture.

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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41055c0e48190b610145ed88c002b completed May 1, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108953d73c819087d6852a6938c440 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108a429fd4819086b842d38c777075 completed May 22, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a108ad0b48c8190b31b28d870e3b200 completed May 22, 2026, 4:56 p.m.
Created at: April 18, 2026, 4:05 a.m.