Triple
T21309850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimbashi Station |
E525299
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shiodome business district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Shiodome business district | Statement: [Shimbashi Station, near, Shiodome business district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiodome business district Context triple: [Shimbashi Station, near, Shiodome business district]
-
A.
Marunouchi business district
The Marunouchi business district is one of Tokyo’s premier commercial centers, known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
B.
Nakanoshima business district
Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
-
C.
Saitama-Shintoshin business district
Saitama-Shintoshin business district is a modern commercial and administrative hub in Saitama City, Japan, featuring high-rise offices, shopping complexes, and major transport links.
-
D.
Aoyama shopping district
Aoyama shopping district is an upscale Tokyo neighborhood known for its high-end fashion boutiques, designer flagships, stylish cafes, and contemporary architecture.
-
E.
Kyobashi commercial district
The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shiodome business district Target entity description: The Shiodome business district is a modern high-rise commercial area in Tokyo known for its corporate headquarters, luxury hotels, and redeveloped waterfront spaces.
-
A.
Marunouchi business district
The Marunouchi business district is one of Tokyo’s premier commercial centers, known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
B.
Nakanoshima business district
Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
-
C.
Saitama-Shintoshin business district
Saitama-Shintoshin business district is a modern commercial and administrative hub in Saitama City, Japan, featuring high-rise offices, shopping complexes, and major transport links.
-
D.
Aoyama shopping district
Aoyama shopping district is an upscale Tokyo neighborhood known for its high-end fashion boutiques, designer flagships, stylish cafes, and contemporary architecture.
-
E.
Kyobashi commercial district
The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
- F. None of above. chosen
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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aaa56fc81909ba7649302528269 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.