Triple

T28991048
Position Surface form Disambiguated ID Type / Status
Subject Kevin Magnussen E736025 entity
Predicate racingSeriesParticipatedIn P126528 FINISHED
Object German Formula Three Championship
The German Formula Three Championship was a prominent open-wheel motor racing series in Germany that served as a key stepping stone for young drivers progressing toward higher levels of international motorsport.
E1846547 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: German Formula Three Championship | Statement: [Kevin Magnussen, racingSeriesParticipatedIn, German Formula Three Championship]
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: German Formula Three Championship
Triple: [Kevin Magnussen, racingSeriesParticipatedIn, German Formula Three Championship]
Generated description
The German Formula Three Championship was a prominent open-wheel motor racing series in Germany that served as a key stepping stone for young drivers progressing toward higher levels of international motorsport.

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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65f7d3b5c8190937aaddff2879989 completed May 2, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f5fcbd0819098f2521087d932ed completed June 7, 2026, 7:35 a.m.
NEDg Description generation batch_6a25203ca3048190b5f91e8a90cb845b completed June 7, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a25209387fc819089c34fd92ba79bcd completed June 7, 2026, 7:41 a.m.
Created at: April 28, 2026, 9:25 a.m.