Triple
T20861590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Mu of Baekje |
E513630
|
entity |
| Predicate | foreignRelations |
P15536
|
FINISHED |
| Object | Yamato Japan |
—
|
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: Yamato Japan | Statement: [King Mu of Baekje, foreignRelations, Yamato Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamato Japan Context triple: [King Mu of Baekje, foreignRelations, Yamato Japan]
-
A.
Yamato
Yamato was a World War II-era Japanese battleship, famed as one of the largest and most heavily armed battleships ever constructed.
-
B.
Yamato
chosen
Yamato refers to the dominant historical ethnic group and cultural core of Japan, traditionally associated with the imperial lineage and Shinto deities such as Amaterasu.
-
C.
Yamato
Yamato is a suburban city in Japan’s Kantō region known for its residential neighborhoods and role as a commuter hub within Kanagawa Prefecture.
-
D.
Ōkuma
Ōkuma is a Japanese surname most famously associated with statesman and educator Ōkuma Shigenobu, a key figure in Japan’s Meiji-era modernization.
-
E.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.