Triple

T26729042
Position Surface form Disambiguated ID Type / Status
Subject RAF Church Fenton E673913 entity
Predicate usedByUnit P22634 FINISHED
Object No. 1 Flying Training School RAF
No. 1 Flying Training School RAF is a Royal Air Force training unit responsible for providing basic and advanced flying instruction to new military pilots in the United Kingdom.
E1745310 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: No. 1 Flying Training School RAF | Statement: [RAF Church Fenton, usedByUnit, No. 1 Flying Training School RAF]
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: No. 1 Flying Training School RAF
Triple: [RAF Church Fenton, usedByUnit, No. 1 Flying Training School RAF]
Generated description
No. 1 Flying Training School RAF is a Royal Air Force training unit responsible for providing basic and advanced flying instruction to new military pilots in the United Kingdom.

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_69eecda57ab481909424e98f2835e7d8 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f618401d2481908b10199b30333192 completed May 2, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1213218e548190beeb00a2f8dfa2f2 completed May 23, 2026, 8:50 p.m.
NEDg Description generation batch_6a12163a830081908a9fa00fe0b7205b completed May 23, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_6a1216b2fe2c8190ae14dc72aafaf6c7 completed May 23, 2026, 9:05 p.m.
Created at: April 27, 2026, 3:44 a.m.