Triple
T17723601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Vettel |
E442401
|
entity |
| Predicate | helmetDesignOftenFeatures |
P101062
|
FINISHED |
| Object | German flag colors |
—
|
LITERAL 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 flag colors | Statement: [Sebastian Vettel, helmetDesignOftenFeatures, German flag colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helmetDesignOftenFeatures Context triple: [Sebastian Vettel, helmetDesignOftenFeatures, German flag colors]
-
A.
helmetDesignFeature
chosen
Indicates that one entity is a specific design feature or characteristic incorporated into the design of a helmet.
-
B.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
C.
helmetMaterial
Indicates the material from which a helmet is made.
-
D.
helmetLogo
Indicates that one entity serves as the logo or emblem displayed on the helmet of another entity.
-
E.
helmetColor
Indicates the specific color attribute assigned to a helmet in the relationship.
- F. None of above.
Provenance (3 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748900608190bf5ba04415edaffc |
completed | April 19, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.