Triple

T27445296
Position Surface form Disambiguated ID Type / Status
Subject Stewarton E692259 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Stewarton Parish Church
Stewarton Parish Church is a historic Church of Scotland congregation and landmark parish church serving the community of Stewarton in East Ayrshire, Scotland.
E1785434 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: Stewarton Parish Church | Statement: [Stewarton, hasReligiousBuilding, Stewarton Parish 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: Stewarton Parish Church
Triple: [Stewarton, hasReligiousBuilding, Stewarton Parish Church]
Generated description
Stewarton Parish Church is a historic Church of Scotland congregation and landmark parish church serving the community of Stewarton in East Ayrshire, Scotland.

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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d90df98819084ea88ad56d524af completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e437569481909a788346a629c487 completed May 24, 2026, 11:42 a.m.
NEDg Description generation batch_6a12e4fbf9cc8190b5bbff117668f81a completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5e1eafc8190912e291b91690548 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 12:46 p.m.