Triple
T6597851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Bay Aqua-Line |
E148519
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Kawasaki City
Kawasaki City is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along Tokyo Bay.
|
E624625
|
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: Kawasaki City | Statement: [Tokyo Bay Aqua-Line, connectsCity, Kawasaki City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawasaki City Context triple: [Tokyo Bay Aqua-Line, connectsCity, Kawasaki City]
-
A.
Kitakyushu
Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
-
B.
Yokkaichi
Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
-
C.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
D.
Nagoya
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
-
E.
Toyohashi
Toyohashi is a city in Aichi Prefecture, Japan, known as a regional commercial and transportation hub on the Pacific coast of central Honshu.
- 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: Kawasaki City Triple: [Tokyo Bay Aqua-Line, connectsCity, Kawasaki City]
Generated description
Kawasaki City is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along Tokyo Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kawasaki City Target entity description: Kawasaki City is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along Tokyo Bay.
-
A.
Kitakyushu
Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
-
B.
Yokkaichi
Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
-
C.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
D.
Nagoya
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
-
E.
Toyohashi
Toyohashi is a city in Aichi Prefecture, Japan, known as a regional commercial and transportation hub on the Pacific coast of central Honshu.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7422f57848190901b31229825b9e2 |
completed | March 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69c7431d2d5881909daf29caeef37d0d |
completed | March 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c743949cbc8190a797666c7d509a1c |
completed | March 28, 2026, 2:57 a.m. |
Created at: March 27, 2026, 1:56 p.m.