Triple
T7870925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edo-Tokyo Museum |
E182734
|
entity |
| Predicate | locatedIn |
P40
|
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: [Edo-Tokyo Museum, locatedIn, Kanto region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanto region Context triple: [Edo-Tokyo Museum, locatedIn, Kanto region]
-
A.
Kanto
Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
-
B.
Kanto Plain
The Kanto Plain is Japan's largest and most populous lowland region, encompassing Tokyo and surrounding urban and agricultural areas on central Honshu.
-
C.
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.
-
D.
Tokachi region
The Tokachi region is an agricultural and dairy-producing area in eastern Hokkaido, Japan, known for its vast plains, food products, and hot springs.
-
E.
Hokusetsu region
The Hokusetsu region is an area in northern Osaka Prefecture, Japan, known for its suburban cities and natural landscapes centered around the Hokusetsu Mountains.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5615a38c8190b11af9fe5b2e1422 |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:55 p.m.