Triple
T21009687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka-Kitakyushu metropolitan area |
E517511
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kawasaki
Kawasaki is a major industrial and residential city in Japan, located between Tokyo and Yokohama along the Tama River.
|
E61828
|
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 | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Kawasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawasaki Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Kawasaki]
-
A.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
B.
Kawasaki Motors
Kawasaki Motors is the motorcycle, ATV, and small engine manufacturing division of Kawasaki Heavy Industries, known worldwide for its high-performance bikes and power sports vehicles.
-
C.
Kawasaki Daishi
Kawasaki Daishi is a major Shingon Buddhist temple in Kawasaki, Japan, renowned as a popular site for New Year’s visits and prayers for protection from misfortune.
-
D.
Kawasaki More’s
Kawasaki More’s is a shopping complex located in Kawasaki-ku, Japan, offering a variety of retail stores, dining options, and services.
-
E.
Suzuki
Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
- 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 Triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Kawasaki]
Generated description
Kawasaki is a major industrial and residential city in Japan, located between Tokyo and Yokohama along the Tama River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kawasaki Target entity description: Kawasaki is a major industrial and residential city in Japan, located between Tokyo and Yokohama along the Tama River.
-
A.
Kawasaki
chosen
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
B.
Kawasaki Motors
Kawasaki Motors is the motorcycle, ATV, and small engine manufacturing division of Kawasaki Heavy Industries, known worldwide for its high-performance bikes and power sports vehicles.
-
C.
Kawasaki Daishi
Kawasaki Daishi is a major Shingon Buddhist temple in Kawasaki, Japan, renowned as a popular site for New Year’s visits and prayers for protection from misfortune.
-
D.
Kawasaki More’s
Kawasaki More’s is a shopping complex located in Kawasaki-ku, Japan, offering a variety of retail stores, dining options, and services.
-
E.
Suzuki
Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
- F. None of above.
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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3edc548190987a6c2c9936286a |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b5e76508190bec3a12c06c18d39 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093cefdbec81909905a866b99e6c5b |
completed | May 17, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093d595f44819096effb5bead8713e |
completed | May 17, 2026, 4 a.m. |
Created at: April 16, 2026, 1:53 p.m.