Triple
T9078217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshima |
E217543
|
entity |
| Predicate | hasMajorDistrict |
P14817
|
FINISHED |
| Object | Sugamo |
E691781
|
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: Sugamo | Statement: [Toshima, hasMajorDistrict, Sugamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugamo Context triple: [Toshima, hasMajorDistrict, Sugamo]
-
A.
Sugamo
chosen
Sugamo is a Tokyo neighborhood popularly known as the “Harajuku for old ladies,” famed for its Jizō-dōri shopping street and large elderly clientele.
-
B.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
C.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
-
D.
Ikawai
Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
-
E.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d62a4407388190a5d80f4773dd3dad |
completed | April 8, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:12 p.m.