Triple
T392519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honshu |
E8910
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Kanto
Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
|
E51702
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Honshu, hasRegion, Kanto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanto Context triple: [Honshu, hasRegion, Kanto]
-
A.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
B.
Honshu
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
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.
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.
Kansai region
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kanto Triple: [Honshu, hasRegion, Kanto]
Generated description
Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanto Target entity description: Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
-
A.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
B.
Honshu
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
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.
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.
Kansai region
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.
- F. None of above. chosen
Provenance (5 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7492288190bf33c9c869a0710f |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41772e19c8190b02a212f13b4d8aa |
completed | March 1, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69a417d8d8ac8190b9e36238b7bd9132 |
completed | March 1, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4184c1b1c8190b728a2ef5cdc8346 |
completed | March 1, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.