Triple
T7426264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Editions |
E171375
|
entity |
| Predicate | containsBGroupVitamins |
P76913
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Red Bull Editions, containsBGroupVitamins, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsBGroupVitamins Context triple: [Red Bull Editions, containsBGroupVitamins, true]
-
A.
B_12
Indicates that one entity is associated with vitamin B12, such as containing, providing, or being characterized by it.
-
B.
positionOnVitaminC
Indicates the stance, opinion, or policy that one entity holds regarding vitamin C.
-
C.
B_6
Indicates that one entity is the biological sibling of another, specifically the sixth such sibling in an ordered set or sequence.
-
D.
containsAdditives
Indicates that one entity includes or is composed of additional substances or ingredients beyond its primary or original components.
-
E.
containsGroup
Indicates that one entity includes or encompasses a specific group of entities within it.
- F. None of above. chosen
Provenance (4 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f303eb988190ba9df7946fce1c86 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.