Triple
T5207437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugayafukiaezu |
E117545
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Ryūjin |
E503665
|
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: Ryūjin | Statement: [Ugayafukiaezu, associatedDeity, Ryūjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryūjin Context triple: [Ugayafukiaezu, associatedDeity, Ryūjin]
-
A.
Ryūjin
chosen
Ryūjin is a dragon kami (deity) in Japanese mythology who rules over the sea and its creatures.
-
B.
Kawaiisu
Kawaiisu is a Native American people and their Uto-Aztecan language traditionally spoken in the southern Sierra Nevada and Tehachapi Mountains of California.
-
C.
Tenryu
Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
-
D.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
E.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a4a7b7c8190af5a7149f8fe4f87 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7ffab8c81908e17e085727304b6 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:47 p.m.