Triple
T4841142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Letters, Gakushuin University |
E108181
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kanto |
E51702
|
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: Kanto | Statement: [Faculty of Letters, Gakushuin University, region, Kanto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanto Context triple: [Faculty of Letters, Gakushuin University, region, Kanto]
-
A.
Kanto
chosen
Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
-
B.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
C.
Yamato region
The Yamato region is the early political and cultural heartland of Japan, where the first unified Japanese state emerged under the Yamato court.
-
D.
Kantōgun
Kantōgun was the Imperial Japanese Army's Kwantung Army, a powerful and influential military force stationed in Manchuria that played a central role in Japan's expansionist policies before and during World War II.
-
E.
Tokai
Tokai is a suburb in Cape Town, South Africa, known for its residential areas, green spaces, and proximity to the Constantiaberg mountains.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cfd9f3c8190b2b4edb05e9a5d33 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fa94f58819080b8b9c55fc604f9 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:25 p.m.