Triple
T20262266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisei Main Line |
E498869
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Kumano region |
—
|
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: Kumano region | Statement: [Kisei Main Line, servesArea, Kumano region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumano region Context triple: [Kisei Main Line, servesArea, Kumano region]
-
A.
Izumo region
The Izumo region is a historic area in western Japan’s Shimane Prefecture, renowned as a cradle of ancient Shinto mythology and home to some of the country’s oldest and most revered shrines.
-
B.
Hida region
The Hida region is a mountainous area in Japan’s Gifu Prefecture, known for its traditional towns like Takayama, hot springs, and scenic alpine landscapes.
-
C.
Kita-Shinano area
The Kita-Shinano area is a region in northern Nagano Prefecture, Japan, known for its mountainous landscapes, ski resorts, and rural hot spring towns.
-
D.
Kumano
chosen
Kumano is a coastal city in Japan’s Mie Prefecture known for its scenic Kumano Kodo pilgrimage routes and rugged natural landscapes.
-
E.
Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.