Triple
T12720007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doshisha English School |
E303948
|
entity |
| Predicate | notableFounder |
P22
|
FINISHED |
| Object | Niijima Jō |
E1070032
|
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: Niijima Jō | Statement: [Doshisha English School, notableFounder, Niijima Jō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niijima Jō Context triple: [Doshisha English School, notableFounder, Niijima Jō]
-
A.
Niijima Jō
chosen
Niijima Jō was a Japanese Christian educator and reformer best known as the founder of Doshisha University in Kyoto.
-
B.
Niijima
Niijima is a volcanic island in the Izu archipelago of Japan, known for its white-sand beaches, surf spots, and scenic coastal landscapes.
-
C.
Himejima
Himejima is one of the small islands in Tokyo’s Mukojima Islands group, known for its remote, natural setting in the Pacific.
-
D.
Mukōjima
Mukōjima is a neighborhood in Tokyo’s Sumida ward known for its traditional atmosphere, historic geisha district, and riverside cherry blossom viewing along the Sumida River.
-
E.
Jinoshima
Jinoshima is one of the uninhabited Tomogashima Islands in Japan, known for its rugged natural scenery and remnants of former military fortifications.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f0e59c8190b40213e999c75feb |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 9, 2026, 5:24 p.m.