Triple
T7978040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | なんばマルイ |
E185495
|
entity |
| Predicate | 最寄駅 |
P44136
|
FINISHED |
| Object |
なんば駅
なんば駅は、大阪市中央区・浪速区にまたがる難波エリアの主要ターミナル駅で、地下鉄・私鉄・JRが集まる大阪有数の交通拠点である。
|
E703219
|
NE FINISHED |
How this triple was built (4 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: なんば駅 | Statement: [なんばマルイ, 最寄駅, なんば駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: なんば駅 Context triple: [なんばマルイ, 最寄駅, なんば駅]
-
A.
Shinsaibashi Station
Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
-
B.
Umeda Station
Umeda Station is a major railway hub in Osaka, Japan, serving multiple private railway and subway lines and forming one of the busiest transport complexes in the country.
-
C.
Higashi-Umeda Station
Higashi-Umeda Station is a major Osaka Metro subway station in central Osaka, Japan, serving the busy Umeda commercial and business district.
-
D.
Shinsaibashi
Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
-
E.
Umeda Station and Shinsaibashi Station
Umeda Station and Shinsaibashi Station are major central Osaka subway stations that serve as key commercial and transportation hubs along the Osaka Metro Midosuji Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: なんば駅 Triple: [なんばマルイ, 最寄駅, なんば駅]
Generated description
なんば駅は、大阪市中央区・浪速区にまたがる難波エリアの主要ターミナル駅で、地下鉄・私鉄・JRが集まる大阪有数の交通拠点である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: なんば駅 Target entity description: なんば駅は、大阪市中央区・浪速区にまたがる難波エリアの主要ターミナル駅で、地下鉄・私鉄・JRが集まる大阪有数の交通拠点である。
-
A.
Shinsaibashi Station
Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
-
B.
Umeda Station
Umeda Station is a major railway hub in Osaka, Japan, serving multiple private railway and subway lines and forming one of the busiest transport complexes in the country.
-
C.
Higashi-Umeda Station
Higashi-Umeda Station is a major Osaka Metro subway station in central Osaka, Japan, serving the busy Umeda commercial and business district.
-
D.
Shinsaibashi
Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
-
E.
Umeda Station and Shinsaibashi Station
Umeda Station and Shinsaibashi Station are major central Osaka subway stations that serve as key commercial and transportation hubs along the Osaka Metro Midosuji Line.
- F. None of above. chosen
Provenance (5 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf84b1081908e60a556d984aad6 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.