Triple
T13570093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissin Foods |
E324133
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Raoh |
E1049008
|
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: Raoh | Statement: [Nissin Foods, brandOwner, Raoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raoh Context triple: [Nissin Foods, brandOwner, Raoh]
-
A.
Raoh
chosen
Raoh is a premium instant ramen brand produced by Nissin Foods, known for its rich, restaurant-quality broth and high-end noodle texture.
-
B.
Hogun
Hogun is a grim and stoic Asgardian warrior from Marvel Comics, best known as one of the heroic adventuring trio known as the Warriors Three and a close ally of Thor.
-
C.
Ryojun
Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
-
D.
Yorii
Yorii is a town in Saitama Prefecture, Japan, known as a regional residential and commuter hub connected to the greater Tokyo area.
-
E.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
- 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.