Triple
T23510720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岐阜市 |
E572412
|
entity |
| Predicate | locatedInIsland |
P40
|
FINISHED |
| Object | 本州 |
—
|
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: 本州 | Statement: [岐阜市, locatedInIsland, 本州]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 本州 Context triple: [岐阜市, locatedInIsland, 本州]
-
A.
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.
-
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
chosen
Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
-
D.
Shikoku
Shikoku is the smallest of Japan’s four main islands, known for its mountainous landscapes, traditional rural culture, and the famous 88-temple Buddhist pilgrimage route.
-
E.
Kyushu (Ryukyu Islands)
Kyushu (Ryukyu Islands) is a southwestern Japanese region encompassing the main island of Kyushu and the Ryukyu archipelago, known for its subtropical climate, active volcanoes, and distinct Ryukyuan cultural heritage.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7e99b081909620c4f951100023 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:07 p.m.