Triple
T4336583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanto Mountains |
E97476
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | Kanto region |
E54245
|
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: Kanto region | Statement: [Kanto Mountains, separates, Kanto region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanto region Context triple: [Kanto Mountains, separates, Kanto region]
-
A.
Kanto
Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
-
B.
Kantō region
chosen
The Kantō region is a major geographical and economic area of eastern Honshu, Japan, encompassing Tokyo and several surrounding prefectures and serving as the country’s political and population center.
-
C.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
D.
Chūbu region
The Chūbu region is a central area of Japan on Honshu Island, known for encompassing the Japanese Alps and including major prefectures such as Aichi, Nagano, and Shizuoka.
-
E.
Hokuriku region
The Hokuriku region is a coastal area in northwestern Honshu, Japan, known for its heavy snowfall, Sea of Japan shoreline, and historic castle and hot spring towns.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9fd4988190afa9e04b029cd573 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:14 p.m.