Triple
T14284849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 港区 |
E354141
|
entity |
| Predicate | hasTransportationHub |
P2413
|
FINISHED |
| Object |
新橋駅
新橋駅は、東京都港区に位置し、JR線・地下鉄・私鉄が乗り入れる東京有数のターミナル駅で、ビジネス街や官庁街への玄関口として知られている交通拠点です。
|
E1218573
|
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: 新橋駅 | Statement: [港区, hasTransportationHub, 新橋駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 新橋駅 Context triple: [港区, hasTransportationHub, 新橋駅]
-
A.
Shin-Yokohama Station
Shin-Yokohama Station is a major railway hub in Yokohama, Japan, serving Shinkansen, JR, and municipal subway lines and providing access to key destinations such as the nearby International Stadium Yokohama.
-
B.
Shinagawa Station
Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
-
C.
Yokohama Station
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
D.
Chiba Station
Chiba Station is a major railway hub in Chiba, Japan, serving multiple JR East lines and connecting the city with the greater Tokyo metropolitan area.
-
E.
Shinagawa Terminal
Shinagawa Terminal is a key cargo and logistics hub within Tokyo’s port infrastructure, supporting the handling and distribution of maritime freight in the Tokyo area.
- 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: 新橋駅 Triple: [港区, hasTransportationHub, 新橋駅]
Generated description
新橋駅は、東京都港区に位置し、JR線・地下鉄・私鉄が乗り入れる東京有数のターミナル駅で、ビジネス街や官庁街への玄関口として知られている交通拠点です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 新橋駅 Target entity description: 新橋駅は、東京都港区に位置し、JR線・地下鉄・私鉄が乗り入れる東京有数のターミナル駅で、ビジネス街や官庁街への玄関口として知られている交通拠点です。
-
A.
Shin-Yokohama Station
Shin-Yokohama Station is a major railway hub in Yokohama, Japan, serving Shinkansen, JR, and municipal subway lines and providing access to key destinations such as the nearby International Stadium Yokohama.
-
B.
Shinagawa Station
Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
-
C.
Yokohama Station
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
D.
Chiba Station
Chiba Station is a major railway hub in Chiba, Japan, serving multiple JR East lines and connecting the city with the greater Tokyo metropolitan area.
-
E.
Shinagawa Terminal
Shinagawa Terminal is a key cargo and logistics hub within Tokyo’s port infrastructure, supporting the handling and distribution of maritime freight in the Tokyo area.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006065741c8190ad4ceb6bd3d60f9f |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00620e66788190acccf2c8fce00943 |
completed | May 10, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062665d908190b8127b21edcad30e |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 1:10 a.m.