Triple
T15650377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bansho Shirabesho |
E376294
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Tsuda Mamichi |
E1141331
|
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: Tsuda Mamichi | Statement: [Bansho Shirabesho, notableMember, Tsuda Mamichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsuda Mamichi Context triple: [Bansho Shirabesho, notableMember, Tsuda Mamichi]
-
A.
Tsuda Mamichi
chosen
Tsuda Mamichi was a prominent Meiji-era Japanese legal scholar, statesman, and intellectual who played a key role in introducing Western legal and political ideas to Japan.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
-
D.
Tateishi
Tateishi is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, narrow shopping streets, and old-style bars and eateries.
-
E.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebe275c819094473d37cf33c7d0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:15 a.m.