Triple
T26389696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Powertrains (Honda-based) |
E663377
|
entity |
| Predicate | introducedForSeason |
P8259
|
FINISHED |
| Object |
2022 Formula One World Championship
The 2022 Formula One World Championship was a Grand Prix racing season that marked the beginning of a new era of technical regulations, with overhauled car designs aimed at closer racing and cost controls reshaping the competitive landscape.
|
E1721702
|
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: 2022 Formula One World Championship | Statement: [Red Bull Powertrains (Honda-based), introducedForSeason, 2022 Formula One World 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: 2022 Formula One World Championship Triple: [Red Bull Powertrains (Honda-based), introducedForSeason, 2022 Formula One World Championship]
Generated description
The 2022 Formula One World Championship was a Grand Prix racing season that marked the beginning of a new era of technical regulations, with overhauled car designs aimed at closer racing and cost controls reshaping the competitive landscape.
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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610be3e848190b7acb7675e37e1f5 |
completed | May 2, 2026, 2:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a80c5988190821e0a8c92addbdc |
completed | May 23, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a119bbc54dc81908eac09f455b4c32a |
completed | May 23, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119c8b70c081908712fdefe5c7a147 |
completed | May 23, 2026, 12:24 p.m. |
Created at: April 26, 2026, 11:24 p.m.