Triple
T13823826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricola Storage Building Laufen |
E332199
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Ricola AG |
E1063693
|
NE 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: Ricola AG | Statement: [Ricola Storage Building Laufen, usedBy, Ricola AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricola AG Context triple: [Ricola Storage Building Laufen, usedBy, Ricola AG]
-
A.
Ricola
chosen
Ricola is a Swiss company best known for producing herbal cough drops and other herbal-based confectionery products.
-
B.
Lindt & Sprüngli
Lindt & Sprüngli is a Swiss premium chocolate and confectionery manufacturer renowned worldwide for its high-quality chocolate bars, pralines, and seasonal specialties.
-
C.
Glockner Group
The Glockner Group is a prominent mountain range in the Austrian Central Alps, known for its rugged peaks and extensive glaciation.
-
D.
K+S Aktiengesellschaft
K+S Aktiengesellschaft is a German chemical company best known as one of the world’s leading producers of potash and salt products for agricultural, industrial, and consumer markets.
-
E.
Hausen AG
Hausen AG is a municipality in the canton of Aargau in northern Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e966c48190abe109d44300014a |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.