Triple
T493619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JST |
E10241
|
entity |
| Predicate | usedByCity |
P4810
|
FINISHED |
| Object |
Kagoshima
Kagoshima is a coastal city in southern Kyushu, Japan, known for its active Sakurajima volcano, hot springs, and scenic bay views.
|
E47538
|
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: Kagoshima | Statement: [JST, usedByCity, Kagoshima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagoshima Context triple: [JST, usedByCity, Kagoshima]
-
A.
Kagoshima Prefecture
Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
-
B.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
C.
Okayama
Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
-
D.
Kitakyushu
Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
-
E.
Fukuoka
Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
- 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: Kagoshima Triple: [JST, usedByCity, Kagoshima]
Generated description
Kagoshima is a coastal city in southern Kyushu, Japan, known for its active Sakurajima volcano, hot springs, and scenic bay views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kagoshima Target entity description: Kagoshima is a coastal city in southern Kyushu, Japan, known for its active Sakurajima volcano, hot springs, and scenic bay views.
-
A.
Kagoshima Prefecture
chosen
Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
-
B.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
C.
Okayama
Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
-
D.
Kitakyushu
Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
-
E.
Fukuoka
Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad717a95848190964e7cf1be92ad67 |
completed | March 8, 2026, 12:54 p.m. |
| NEDg | Description generation | batch_69ad72016c3c8190ac3bd11bab59fdf0 |
completed | March 8, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7277b5f081908a8af047032aa15a |
completed | March 8, 2026, 12:58 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.