Triple
T678261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumihiko Maki |
E13124
|
entity |
| Predicate | hasWorkLocation |
P1527
|
FINISHED |
| Object | Japan |
E174
|
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: Japan | Statement: [Fumihiko Maki, hasWorkLocation, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japan Context triple: [Fumihiko Maki, hasWorkLocation, Japan]
-
A.
Japan
chosen
Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
-
B.
Honshu
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
C.
South Korea
South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
-
D.
Japanese archipelago
The Japanese archipelago is a chain of islands in East Asia that forms the country of Japan, stretching from Hokkaido in the north to Okinawa in the south.
-
E.
Miyazaki
Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6373fbf388190afb01fcfd67f03bf |
completed | March 3, 2026, 1:19 a.m. |
Created at: March 1, 2026, 7:36 p.m.