Triple
T16239526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omotesando Station |
E394203
|
entity |
| Predicate | providesAccessTo |
P1985
|
FINISHED |
| Object | Aoyama shopping 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: Aoyama shopping district | Statement: [Omotesando Station, providesAccessTo, Aoyama shopping district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aoyama shopping district Context triple: [Omotesando Station, providesAccessTo, Aoyama shopping district]
-
A.
Futako-Tamagawa shopping district
Futako-Tamagawa shopping district is a popular commercial and leisure area in Tokyo known for its large shopping complexes, riverside location, and upscale urban atmosphere.
-
B.
Isezakichō shopping district
Isezakichō shopping district is a historic and bustling commercial area in central Yokohama known for its long shopping street, diverse retail stores, and local eateries.
-
C.
Tsuruhashi shopping district
Tsuruhashi shopping district is a bustling Osaka marketplace famous for its Korean cultural influence, barbecue restaurants, and dense network of traditional shops and food stalls.
-
D.
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.
-
E.
Ichibancho shopping district
Ichibancho shopping district is a prominent commercial and shopping area in Sendai, Japan, known for its covered arcades, fashion boutiques, and lively urban atmosphere.
- 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: Aoyama shopping district Target entity description: Aoyama shopping district is an upscale Tokyo neighborhood known for its high-end fashion boutiques, designer flagships, stylish cafes, and contemporary architecture.
-
A.
Futako-Tamagawa shopping district
Futako-Tamagawa shopping district is a popular commercial and leisure area in Tokyo known for its large shopping complexes, riverside location, and upscale urban atmosphere.
-
B.
Isezakichō shopping district
Isezakichō shopping district is a historic and bustling commercial area in central Yokohama known for its long shopping street, diverse retail stores, and local eateries.
-
C.
Tsuruhashi shopping district
Tsuruhashi shopping district is a bustling Osaka marketplace famous for its Korean cultural influence, barbecue restaurants, and dense network of traditional shops and food stalls.
-
D.
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.
-
E.
Ichibancho shopping district
Ichibancho shopping district is a prominent commercial and shopping area in Sendai, Japan, known for its covered arcades, fashion boutiques, and lively urban atmosphere.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455d5270819090171d4207223a28 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:04 a.m.