Triple

T27855971
Position Surface form Disambiguated ID Type / Status
Subject Lewknor E704086 entity
Predicate primarySchool P43431 FINISHED
Object Lewknor Church of England Primary School
Lewknor Church of England Primary School is a small village primary school in Lewknor, Oxfordshire, providing education within a Christian (Church of England) ethos.
E1792454 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: Lewknor Church of England Primary School | Statement: [Lewknor, primarySchool, Lewknor Church of England Primary School]
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: Lewknor Church of England Primary School
Triple: [Lewknor, primarySchool, Lewknor Church of England Primary School]
Generated description
Lewknor Church of England Primary School is a small village primary school in Lewknor, Oxfordshire, providing education within a Christian (Church of England) ethos.

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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63908927c81909a4637db44d91d9b completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f7401a348190af83908771fb4d05 completed May 24, 2026, 1:04 p.m.
NEDg Description generation batch_6a12fbb95ea08190ad8b6506e24fddbf completed May 24, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_6a12fcaddb648190ac6168173e7942b3 completed May 24, 2026, 1:27 p.m.
Created at: April 27, 2026, 6:14 p.m.