Triple
T21327495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enoshima |
E525798
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 江の島 |
—
|
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: 江の島 | Statement: [Enoshima, hasJapaneseName, 江の島]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 江の島 Context triple: [Enoshima, hasJapaneseName, 江の島]
-
A.
Enoshima
chosen
Enoshima is a small island off the coast of Kanagawa Prefecture in Japan, famed as a scenic seaside resort and a historic center of worship dedicated to the goddess Benzaiten.
-
B.
Higashi-Awaji
Higashi-Awaji was a former municipality in Japan that later became part of the city of Awaji through a merger.
-
C.
友ヶ島
友ヶ島 is a group of small, historically fortified islands in Wakayama Prefecture, Japan, known for their abandoned military ruins and scenic coastal landscapes.
-
D.
Ueshima Island
Ueshima Island is a small inhabited island in the Amakusa archipelago of Kumamoto Prefecture, Japan, known for its scenic coastal landscapes and traditional fishing communities.
-
E.
Rokkō Island
Rokkō Island is a large man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure in Osaka Bay.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4d69b4819088649e34213d0b67 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.