Triple
T13335930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukejima |
E317691
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yoronjima |
E213306
|
NE FINISHED |
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: Yoronjima | Statement: [Ukejima, locatedNear, Yoronjima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoronjima Context triple: [Ukejima, locatedNear, Yoronjima]
-
A.
Yoronjima
chosen
Yoronjima is a small subtropical island in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and Ryukyuan cultural heritage.
-
B.
Meijima
Meijima is one of the small islands that make up Japan’s Mukojima Islands group in the Ogasawara (Bonin) archipelago.
-
C.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
-
D.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
E.
Ninoshima
Ninoshima is a small island in Japan known for its location near Hiroshima and its historical role during and after the atomic bombing of Hiroshima in World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73979cb4081909e750e2d98869891 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:30 p.m.