Triple
T21401694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Maggi |
E527926
|
entity |
| Predicate | brandAssociation |
P629
|
FINISHED |
| Object | Maggi seasonings |
—
|
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: Maggi seasonings | Statement: [Julius Maggi, brandAssociation, Maggi seasonings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggi seasonings Context triple: [Julius Maggi, brandAssociation, Maggi seasonings]
-
A.
Maggi
chosen
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Dolmio
Dolmio is a popular food brand best known for its Italian-style pasta sauces and ready-made meal products.
-
C.
Knorr
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
-
D.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
E.
Heinz
Heinz is a historic American food processing company best known for its ketchup and other condiments.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1702b44819080b282c22d151c88 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:18 p.m.