Triple

T27438605
Position Surface form Disambiguated ID Type / Status
Subject RAF Turnhouse E690861 entity
Predicate garrison P75 FINISHED
Object No. 165 Squadron RAF
No. 165 Squadron RAF was a Royal Air Force fighter squadron that served during the Second World War, flying aircraft such as the Supermarine Spitfire in air defense and offensive operations.
E2177429 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. 165 Squadron RAF | Statement: [RAF Turnhouse, garrison, No. 165 Squadron 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. 165 Squadron RAF
Triple: [RAF Turnhouse, garrison, No. 165 Squadron RAF]
Generated description
No. 165 Squadron RAF was a Royal Air Force fighter squadron that served during the Second World War, flying aircraft such as the Supermarine Spitfire in air defense and offensive operations.

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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d8c1af8819097dd3c1bf6704ddd completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396de56a948190be129bdd0f17886e completed June 22, 2026, 5:16 p.m.
NEDg Description generation batch_6a396fcd684081908c94994bf00ac889 completed June 22, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_6a397038b4e0819099c71a867a5d5f40 completed June 22, 2026, 5:26 p.m.
Created at: April 27, 2026, 12:44 p.m.