Triple
T21333879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asakusabashi Station |
E525983
|
entity |
| Predicate | hasAdjacentArea |
P17964
|
FINISHED |
| Object | Asakusabashi commercial 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: Asakusabashi commercial district | Statement: [Asakusabashi Station, hasAdjacentArea, Asakusabashi commercial district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asakusabashi commercial district Context triple: [Asakusabashi Station, hasAdjacentArea, Asakusabashi commercial district]
-
A.
Kyōbashi commercial area
The Kyōbashi commercial area is a bustling Osaka district known for its dense concentration of shops, restaurants, and entertainment venues, as well as its major railway hub.
-
B.
Kichijōji commercial district
Kichijōji commercial district is a popular Tokyo shopping and entertainment area known for its mix of trendy boutiques, cafes, and nightlife near Inokashira Park.
-
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.
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.
-
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: Asakusabashi commercial district Target entity description: The Asakusabashi commercial district is a traditional Tokyo neighborhood known for its wholesale shops, craft and bead stores, and close-knit small-business atmosphere.
-
A.
Kyōbashi commercial area
The Kyōbashi commercial area is a bustling Osaka district known for its dense concentration of shops, restaurants, and entertainment venues, as well as its major railway hub.
-
B.
Kichijōji commercial district
Kichijōji commercial district is a popular Tokyo shopping and entertainment area known for its mix of trendy boutiques, cafes, and nightlife near Inokashira Park.
-
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.
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.
-
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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba65c4081908b93d5dc6a937cb6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:43 p.m.