Triple
T18254165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental AG |
E437177
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Semperit |
—
|
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: Semperit | Statement: [Continental AG, hasBrand, Semperit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semperit Context triple: [Continental AG, hasBrand, Semperit]
-
A.
Semperit
chosen
Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
-
B.
Klöckner Group
Klöckner Group is a German-based industrial company, historically active in steel and metal distribution, whose name has been used for various sponsorships and facilities such as Klöckner Stadium.
-
C.
Dussmann Group
Dussmann Group is a German multinational service company specializing in facility management, technical services, and care and catering solutions across various sectors.
-
D.
Otto Group
Otto Group is a major German multinational retail and services conglomerate best known for its e-commerce, logistics, and mail-order businesses.
-
E.
Hasche-Mann
Hasche-Mann is a brief, playful piano piece by Robert Schumann from his Kinderszenen (Scenes from Childhood), often interpreted as depicting a lively game of tag.
- 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_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.