Triple
T4588354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2025 |
E103423
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kansai |
E1806
|
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: Kansai | Statement: [Expo 2025, region, Kansai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kansai Context triple: [Expo 2025, region, Kansai]
-
A.
Kansai region
chosen
The Kansai region is a major cultural and economic area of western Japan that includes cities such as Osaka, Kyoto, and Kobe and is known as a historic heartland of Japanese civilization.
-
B.
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.
-
C.
Kyushu
Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
-
D.
Yamato region
The Yamato region is the early political and cultural heartland of Japan, where the first unified Japanese state emerged under the Yamato court.
-
E.
Chūgoku region
The Chūgoku region is a western part of Japan’s main island Honshu, known for cities like Hiroshima and Okayama and a mix of industrial centers, historic sites, and rural landscapes.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592115fc8190b1aee1d8bbaf1ee3 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6855bd42c8190a9fbebd5176d63fd |
completed | March 27, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:11 p.m.