Triple
T16537208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suginami |
E401722
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Eifuku |
E1147805
|
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: Eifuku | Statement: [Suginami, contains, Eifuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eifuku Context triple: [Suginami, contains, Eifuku]
-
A.
Eifuku
chosen
Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
-
B.
Fuwa
Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
-
C.
Eikyū
Eikyū was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
-
D.
Keikyū
Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
-
E.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34559ca948190a9eb810b9b3be079 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067aafee48190a0652fb4fac04a5b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.