Triple
T13570096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissin Foods |
E324133
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Nissin Foods USA |
E324133
|
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: Nissin Foods USA | Statement: [Nissin Foods, hasSubsidiary, Nissin Foods USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissin Foods USA Context triple: [Nissin Foods, hasSubsidiary, Nissin Foods USA]
-
A.
Nissin Foods
chosen
Nissin Foods is a Japanese food company best known for inventing instant ramen and the Cup Noodles brand.
-
B.
Ezaki Glico Co., Ltd.
Ezaki Glico Co., Ltd. is a Japanese confectionery and food company best known for products like Pocky and Pretz, as well as its iconic advertising presence in Osaka.
-
C.
Glico Frozen Foods Co., Ltd.
Glico Frozen Foods Co., Ltd. is a Japanese company specializing in the production and sale of frozen food products under the Ezaki Glico brand.
-
D.
Mitsubishi Shokuhin
Mitsubishi Shokuhin is a Japanese food and beverage wholesale and distribution company within the Mitsubishi corporate group.
-
E.
Kashi Company
Kashi Company is a natural and organic food brand known for its whole-grain cereals, snacks, and plant-based products.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8967288190b822ed1e115f85b2 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:48 p.m.