Triple
T15158480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niyodo River basin |
E362143
|
entity |
| Predicate | tourismBranding |
P14764
|
FINISHED |
| Object | Niyodo Blue water |
E1140722
|
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: Niyodo Blue water | Statement: [Niyodo River basin, tourismBranding, Niyodo Blue water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niyodo Blue water Context triple: [Niyodo River basin, tourismBranding, Niyodo Blue water]
-
A.
Niyodo Blue
chosen
Niyodo Blue is the strikingly clear, vivid blue color of the Niyodo River in Japan, celebrated as one of the country’s most beautiful river hues.
-
B.
Miyako Blue sea
Miyako Blue sea is the famously clear, vividly turquoise ocean surrounding Miyako Island in Okinawa, Japan, celebrated for its striking color and scenic coastal views.
-
C.
Kerama Blue waters
Kerama Blue waters are the famously clear, intensely turquoise seas surrounding Japan’s Kerama Islands, celebrated for their exceptional visibility and vibrant coral reef ecosystems.
-
D.
Aquata
Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
-
E.
Nasuno
Nasuno is a Japanese Shinkansen train service that operates on the Tōhoku Shinkansen line, primarily providing all-stations or local high-speed service in the northern Kanto and southern Tōhoku regions.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88419108190860319a9bcab1eef |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.