Triple
T21654422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juso Station |
E534419
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Juso entertainment 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: Juso entertainment district | Statement: [Juso Station, nearbyArea, Juso entertainment district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juso entertainment district Context triple: [Juso Station, nearbyArea, Juso entertainment district]
-
A.
Nakasu entertainment district
Nakasu entertainment district is a famous nightlife and red-light area in Fukuoka, Japan, known for its dense concentration of bars, restaurants, and entertainment venues on an island between the city’s rivers.
-
B.
Rokku entertainment district
The Rokku entertainment district was a historic pleasure and theater quarter in Tokyo’s Asakusa area, once famous for its cinemas, vaudeville, and popular entertainment before World War II.
-
C.
Shinsekai entertainment district
The Shinsekai entertainment district is a historic Osaka neighborhood known for its retro Showa-era atmosphere, Tsutenkaku Tower, casual eateries, and vibrant nightlife.
-
D.
NEON District
NEON District is a vibrant urban arts and entertainment neighborhood known for its creative culture, public art, and role as a hub for festivals and community events.
-
E.
Kokubuncho entertainment district
Kokubuncho entertainment district is the largest nightlife and entertainment area in Sendai, Japan, known for its dense concentration of bars, restaurants, and clubs.
- 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: Juso entertainment district Target entity description: The Juso entertainment district is a lively nightlife area in Osaka known for its dense concentration of izakayas, bars, pachinko parlors, and adult entertainment venues.
-
A.
Nakasu entertainment district
Nakasu entertainment district is a famous nightlife and red-light area in Fukuoka, Japan, known for its dense concentration of bars, restaurants, and entertainment venues on an island between the city’s rivers.
-
B.
Rokku entertainment district
The Rokku entertainment district was a historic pleasure and theater quarter in Tokyo’s Asakusa area, once famous for its cinemas, vaudeville, and popular entertainment before World War II.
-
C.
Shinsekai entertainment district
The Shinsekai entertainment district is a historic Osaka neighborhood known for its retro Showa-era atmosphere, Tsutenkaku Tower, casual eateries, and vibrant nightlife.
-
D.
NEON District
NEON District is a vibrant urban arts and entertainment neighborhood known for its creative culture, public art, and role as a hub for festivals and community events.
-
E.
Kokubuncho entertainment district
Kokubuncho entertainment district is the largest nightlife and entertainment area in Sendai, Japan, known for its dense concentration of bars, restaurants, and clubs.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59176b28819092384fc5f8968022 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.