Triple
T14424894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishiseto Expressway |
E357670
|
entity |
| Predicate | traversesIsland |
P114219
|
FINISHED |
| Object | Oshima |
—
|
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: Oshima | Statement: [Nishiseto Expressway, traversesIsland, Oshima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshima Context triple: [Nishiseto Expressway, traversesIsland, Oshima]
-
A.
Oshima
chosen
Oshima is a Japanese island located in the Seto Inland Sea and administered as part of Ehime Prefecture on Shikoku.
-
B.
Ōshima
Ōshima is a Japanese island region in Kagoshima Prefecture, known for its subtropical climate, distinct local culture, and role as a key administrative and geographic area within the Amami Islands.
-
C.
Ōshima
Ōshima is a Japanese surname borne by various notable individuals in fields such as politics, arts, and sports.
-
D.
Suō-Ōshima
Suō-Ōshima is a large inhabited island in Japan’s Seto Inland Sea known for its scenic coastal landscapes, citrus cultivation, and cultural ties with Hawaii.
-
E.
Kirishima
Kirishima is a city in Kagoshima Prefecture, Japan, known for its volcanic mountain range, hot springs, and role in Japanese mythology.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
Created at: April 10, 2026, 1:18 a.m.