Triple
T26390108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Roten Bullen |
E663386
|
entity |
| Predicate | associatedWithOwnership |
P138633
|
FINISHED |
| Object | Red Bull GmbH |
—
|
NE NERFINISHED |
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: Red Bull GmbH | Statement: [Die Roten Bullen, associatedWithOwnership, Red Bull GmbH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOwnership Context triple: [Die Roten Bullen, associatedWithOwnership, Red Bull GmbH]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
refersToOwnership
Indicates that one entity is being referenced specifically in the context of its ownership or possession by another entity.
-
C.
associatedWithStand
Indicates a relationship where an entity is linked or connected to a particular stand, such as being located at, operating in, or otherwise related to that stand.
-
D.
associatedWithOwnerGroup
chosen
Indicates a relationship where an entity is linked or belongs to a specific owner group that has responsibility or control over it.
-
E.
associatedWithUse
Indicates a relationship where one entity is connected to or involved in the use or utilization of another entity.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: April 26, 2026, 11:25 p.m.