Triple
T10521665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanpō Islands |
E248187
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nishinoshima |
E161029
|
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: Nishinoshima | Statement: [Nanpō Islands, hasPart, Nishinoshima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishinoshima Context triple: [Nanpō Islands, hasPart, Nishinoshima]
-
A.
Nishinoshima
chosen
Nishinoshima is a small volcanic island in the Pacific Ocean, known for its dramatic growth and reshaping through frequent eruptions and lava flows.
-
B.
Kirishima
Kirishima is a city in Kagoshima Prefecture, Japan, known for its volcanic mountain range, hot springs, and role in Japanese mythology.
-
C.
Miyako-jima
Miyako-jima is a subtropical Japanese island in Okinawa Prefecture known for its clear blue waters, coral reefs, and popular beach resorts.
-
D.
Nakōdo-jima
Nakōdo-jima is a small, uninhabited volcanic island in Japan’s Ogasawara (Bonin) archipelago, noted for its steep cliffs, rich marine life, and protected natural environment.
-
E.
Sakurajima
Sakurajima is an active stratovolcano in Kagoshima Prefecture, Japan, known for its frequent eruptions and dramatic presence in Kagoshima Bay.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dec25881909bc748640f26a416 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d2d717888190b7e455d006d01033 |
completed | April 20, 2026, 7:16 a.m. |
Created at: April 6, 2026, 12:29 p.m.