Triple

T37380287
Position Surface form Disambiguated ID Type / Status
Subject Kingswinford E928412 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Church of the Ascension Kingswinford
Church of the Ascension Kingswinford is an Anglican parish church serving the community of Kingswinford in the West Midlands, England.
E2227497 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: Church of the Ascension Kingswinford | Statement: [Kingswinford, hasReligiousBuilding, Church of the Ascension Kingswinford]
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: Church of the Ascension Kingswinford
Triple: [Kingswinford, hasReligiousBuilding, Church of the Ascension Kingswinford]
Generated description
Church of the Ascension Kingswinford is an Anglican parish church serving the community of Kingswinford in the West Midlands, England.

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_69f76eb9e66881908534cf22d04c3b5a completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8d180f2481908b4a838ac61edeb0 completed May 6, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408242d9a88190b219d75149da6aed completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4082c3d44c8190bcf3090e1fbcb069 completed June 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a40839c76388190b3ac6bda25481e03 completed June 28, 2026, 2:14 a.m.
Created at: May 3, 2026, 4:16 p.m.