Triple

T27931149
Position Surface form Disambiguated ID Type / Status
Subject tribunals of England and Wales E707983 entity
Predicate hasComponent P35 FINISHED
Object Reserve Forces Appeal Tribunal
The Reserve Forces Appeal Tribunal is a specialist judicial body in England and Wales that hears appeals related to decisions affecting members of the reserve armed forces.
 E1793365 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: Reserve Forces Appeal Tribunal | Statement: [tribunals of England and Wales, hasComponent, Reserve Forces Appeal Tribunal]
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: Reserve Forces Appeal Tribunal
Triple: [tribunals of England and Wales, hasComponent, Reserve Forces Appeal Tribunal]
Generated description
The Reserve Forces Appeal Tribunal is a specialist judicial body in England and Wales that hears appeals related to decisions affecting members of the reserve armed forces.

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a9c5a448190b739a79523610bfd completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13037df1748190ab2511b9ef905d99 completed May 24, 2026, 1:56 p.m.
NEDg Description generation batch_6a13043132c48190bdd9d04f96ea323d completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a1304d78a548190bd80e0614e4b0efd completed May 24, 2026, 2:01 p.m.
Created at: April 27, 2026, 7:03 p.m.