Triple
T26285946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delivery Hero |
E661136
|
entity |
| Predicate | roleOfNiklas Östberg |
P163052
|
FINISHED |
| Object | chief executive officer |
—
|
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: chief executive officer | Statement: [Delivery Hero, roleOfNiklas Östberg, chief executive officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfNiklas Östberg Context triple: [Delivery Hero, roleOfNiklas Östberg, chief executive officer]
-
A.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
B.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
-
C.
notableRaceEngineer
Indicates that the person is recognized as a significant or distinguished engineer in the context of racing or motorsport.
-
D.
polePositionDriverNationality
Indicates the nationality associated with the driver who secured pole position in a race.
-
E.
secondPlaceDriverNationality
Indicates the nationality of the driver who finished in second place in a given race or event.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 26, 2026, 10:04 p.m.