Triple
T20104243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 墨田区 |
E181379
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | 江東区 |
—
|
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: 江東区 | Statement: [墨田区, borderedBy, 江東区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 江東区 Context triple: [墨田区, borderedBy, 江東区]
-
A.
江東区
chosen
江東区は東京都東部に位置し、東京湾に面した臨海部と下町情緒の残る住宅・商業地を併せ持つ特別区です。
-
B.
青葉区
青葉区 is a ward-level administrative district in Japan, most notably known as one of the central wards of Sendai in Miyagi Prefecture.
-
C.
千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
-
D.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
E.
Bunkyō-ku
Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:27 p.m.