Triple
T5377914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka Prefecture |
E113007
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kasuga
Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
|
E526689
|
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: Kasuga | Statement: [Fukuoka Prefecture, hasCity, Kasuga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasuga Context triple: [Fukuoka Prefecture, hasCity, Kasuga]
-
A.
Kasuga
Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
-
B.
Nagaoka-kyō
Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
-
C.
Kakamigahara
Kakamigahara is a city in Gifu Prefecture, Japan, known for its aerospace industry, manufacturing, and proximity to Nagoya.
-
D.
Shoin Jinja
Shoin Jinja is a Shinto shrine in Tokyo dedicated to the influential late-Edo period thinker and educator Yoshida Shōin.
-
E.
Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
- 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: Kasuga Triple: [Fukuoka Prefecture, hasCity, Kasuga]
Generated description
Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasuga Target entity description: Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
-
A.
Kasuga
Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
-
B.
Nagaoka-kyō
Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
-
C.
Kakamigahara
Kakamigahara is a city in Gifu Prefecture, Japan, known for its aerospace industry, manufacturing, and proximity to Nagoya.
-
D.
Shoin Jinja
Shoin Jinja is a Shinto shrine in Tokyo dedicated to the influential late-Edo period thinker and educator Yoshida Shōin.
-
E.
Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc60964c08190bcb128946e121bc9 |
completed | March 22, 2026, 10:35 a.m. |
| NEDg | Description generation | batch_69bfc66e471c8190988fee5cd7fead5f |
completed | March 22, 2026, 10:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfc6c607b88190818e5a607313cc40 |
completed | March 22, 2026, 10:39 a.m. |
Created at: March 20, 2026, 2:03 p.m.