Triple
T21352081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberweier |
E526510
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gaggenau |
—
|
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: Gaggenau | Statement: [Oberweier, partOf, Gaggenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaggenau Context triple: [Oberweier, partOf, Gaggenau]
-
A.
Gaggenau
chosen
Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
-
B.
Neff-U
Neff-U is an American record producer known for his work in hip hop and R&B with artists such as Big Sean, Dr. Dre, and Eminem.
-
C.
Electrolux
Electrolux is a Swedish multinational home appliance manufacturer known for producing a wide range of kitchen and cleaning products for both consumers and professionals.
-
D.
Gorenje
Gorenje is a Slovenian home appliance manufacturer known for producing a wide range of kitchen and household appliances for the European and global markets.
-
E.
Zwilling J. A. Henckels
Zwilling J. A. Henckels is a renowned German manufacturer of high-quality kitchen knives, cookware, and cutlery with a long-standing reputation for craftsmanship.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad33b3388190b9bc8dd5343e5a86 |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.