Triple
T392522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honshu |
E8910
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Tohoku
Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
|
E104634
|
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: Tohoku | Statement: [Honshu, hasRegion, Tohoku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tohoku Context triple: [Honshu, hasRegion, Tohoku]
-
A.
Hokkaido
Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
-
B.
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.
-
C.
Honshu
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
D.
Hyogo Prefecture
Hyogo Prefecture is a large and diverse region in Japan’s Kansai area, known for the port city of Kobe, Himeji Castle, and a mix of urban centers, hot springs, and rural landscapes along the Sea of Japan and Seto Inland Sea.
-
E.
Tohoku U
Tohoku U is a leading national research university in Sendai, Japan, renowned for its engineering, science, and materials research.
- 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: Tohoku Triple: [Honshu, hasRegion, Tohoku]
Generated description
Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tohoku Target entity description: Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
-
A.
Hokkaido
Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
-
B.
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.
-
C.
Honshu
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
D.
Hyogo Prefecture
Hyogo Prefecture is a large and diverse region in Japan’s Kansai area, known for the port city of Kobe, Himeji Castle, and a mix of urban centers, hot springs, and rural landscapes along the Sea of Japan and Seto Inland Sea.
-
E.
Tohoku U
Tohoku U is a leading national research university in Sendai, Japan, renowned for its engineering, science, and materials research.
- 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_69a7bffe8a488190939b1a778db4f517 |
completed | March 4, 2026, 5:15 a.m. |
| NEDg | Description generation | batch_69a7c0bea40481908df44214da39135e |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c125de38819084897b25887dea0e |
completed | March 4, 2026, 5:20 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.