Triple

T25704604
Position Surface form Disambiguated ID Type / Status
Subject Bardsey, West Yorkshire, England E644552 entity
Predicate parishChurch P2739 FINISHED
Object All Hallows Church, Bardsey
All Hallows Church, Bardsey is a historic parish church in Bardsey, West Yorkshire, England, noted for its medieval origins and architectural heritage.
E1691821 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: All Hallows Church, Bardsey | Statement: [Bardsey, West Yorkshire, England, parishChurch, All Hallows Church, Bardsey]
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: All Hallows Church, Bardsey
Triple: [Bardsey, West Yorkshire, England, parishChurch, All Hallows Church, Bardsey]
Generated description
All Hallows Church, Bardsey is a historic parish church in Bardsey, West Yorkshire, England, noted for its medieval origins and architectural heritage.

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_69e77e83c8ec8190bf52fcdac4838984 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fc1052508190bee01272205a9f70 completed May 2, 2026, 1:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c16eac0481908cc868d18d39b123 completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c3e6d8ac81908a6e9f2bde52e91b completed May 22, 2026, 9 p.m.
NED2 Entity disambiguation (via description) batch_6a10c459a0688190a40ab9a407769140 completed May 22, 2026, 9:02 p.m.
Created at: April 21, 2026, 9:02 p.m.