Triple
T18254333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viking |
E437182
|
entity |
| Predicate | hasParentOrganization |
P10
|
FINISHED |
| Object | Continental AG |
—
|
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: Continental AG | Statement: [Viking, hasParentOrganization, Continental AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Continental AG Context triple: [Viking, hasParentOrganization, Continental AG]
-
A.
Continental Motors
Continental Motors is an American manufacturer best known for producing aircraft and military vehicle engines, including powerplants for tanks and other armored vehicles.
-
B.
Continental
chosen
Continental is a major German automotive manufacturing company best known for producing tires, braking systems, and other vehicle components.
-
C.
Nokian Tyres
Nokian Tyres is a Finnish tire manufacturer best known for its high-quality winter and all-weather tires designed for challenging Nordic conditions.
-
D.
Bridgestone
Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
-
E.
Otto Group
Otto Group is a major German multinational retail and services conglomerate best known for its e-commerce, logistics, and mail-order businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.