Triple

T29724142
Position Surface form Disambiguated ID Type / Status
Subject RB199 E752133 entity
Predicate hasVariant P455 FINISHED
Object RB199 Mk 105
The RB199 Mk 105 is an advanced variant of the Rolls-Royce/Turbomeca/MTU RB199 turbofan engine, optimized to provide improved performance and reliability for later versions of the Panavia Tornado combat aircraft.
E1890347 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: RB199 Mk 105 | Statement: [RB199, hasVariant, RB199 Mk 105]
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: RB199 Mk 105
Triple: [RB199, hasVariant, RB199 Mk 105]
Generated description
The RB199 Mk 105 is an advanced variant of the Rolls-Royce/Turbomeca/MTU RB199 turbofan engine, optimized to provide improved performance and reliability for later versions of the Panavia Tornado combat aircraft.

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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672fe1b2881909acfdfed7c4a1ac2 completed May 2, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1afd5048190b5172b005c8d2d46 completed June 8, 2026, 4:45 p.m.
NEDg Description generation batch_6a26f3a9e4a48190b792492b75b414d1 completed June 8, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a26f40edd2481909dbd5338bbff8b32 completed June 8, 2026, 4:55 p.m.
Created at: April 28, 2026, 7:38 p.m.