Triple
T7870902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsushika |
E182733
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Edogawa |
E181380
|
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: Edogawa | Statement: [Katsushika, adjacentTo, Edogawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edogawa Context triple: [Katsushika, adjacentTo, Edogawa]
-
A.
Edogawa
chosen
Edogawa is a special ward in eastern Tokyo, Japan, known for its residential neighborhoods, riverside parks, and family-oriented attractions.
-
B.
Ryūnosuke
Ryūnosuke is a Japanese masculine given name most famously borne by the writer Ryūnosuke Akutagawa, often associated with literary and artistic circles.
-
C.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
D.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
E.
Adachi
Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b6bc7248190adbf4377c52e16a9 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:55 p.m.