Triple
T23091479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōno-yu |
E575761
|
entity |
| Predicate | locatedInIsland |
P40
|
FINISHED |
| Object | Honshū |
—
|
NE NERFINISHED |
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: Honshū | Statement: [Kōno-yu, locatedInIsland, Honshū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honshū Context triple: [Kōno-yu, locatedInIsland, Honshū]
-
A.
Honshu
chosen
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
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 and Kyushu
Honshu and Kyushu are the largest and third-largest islands of Japan, respectively, forming key parts of the country’s main archipelago.
-
D.
Honshu–Shikoku area
The Honshu–Shikoku area is a key region of Japan encompassing the strait and surrounding zones between the main islands of Honshu and Shikoku, linked by major bridge and transportation networks.
-
E.
Kōshin'etsu region
The Kōshin'etsu region is a landlocked area of central Honshu, Japan, traditionally comprising Yamanashi, Nagano, and Niigata Prefectures and known for its mountains, hot springs, and ski resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.