Triple
T11744409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo 23 wards |
E279238
|
entity |
| Predicate | containsAdministrativeDivision |
P747
|
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: [Tokyo 23 wards, containsAdministrativeDivision, Edogawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edogawa Context triple: [Tokyo 23 wards, containsAdministrativeDivision, 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.
Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
-
C.
Ryūnosuke
Ryūnosuke is a Japanese masculine given name most famously borne by the writer Ryūnosuke Akutagawa, often associated with literary and artistic circles.
-
D.
Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
-
E.
Sadaharu
Sadaharu is the given name of Sadaharu Oh, the legendary Japanese-Taiwanese baseball player and home run record holder.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019e4f0988190afe0b92f4c9d8073 |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.