Triple
T17530723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Albrecht |
E426921
|
entity |
| Predicate | brandDeveloped |
P57066
|
FINISHED |
| Object | Aldi Süd |
—
|
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: Aldi Süd | Statement: [Karl Albrecht, brandDeveloped, Aldi Süd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldi Süd Context triple: [Karl Albrecht, brandDeveloped, Aldi Süd]
-
A.
Aldi Süd
chosen
Aldi Süd is a major German discount supermarket chain, forming one half of the global Aldi brand and operating thousands of low-cost grocery stores across Europe, the U.S., and other regions.
-
B.
ALDI Nord
ALDI Nord is a major German discount supermarket chain operating numerous stores across Europe.
-
C.
Tönnies
Tönnies is a German surname most notably associated with the sociologist Ferdinand Tönnies, a founding figure of modern sociology.
-
D.
Lidl
Lidl is a major German international discount supermarket chain known for its low prices and extensive network of stores across Europe and beyond.
-
E.
Kaufhof
Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453688950819098162d853cd2674e |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.