Triple
T493637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JST |
E10241
|
entity |
| Predicate | usedByCity |
P4810
|
FINISHED |
| Object |
Miyazaki
Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
|
E76478
|
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: Miyazaki | Statement: [JST, usedByCity, Miyazaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miyazaki Context triple: [JST, usedByCity, Miyazaki]
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
C.
Kyushu
Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
-
D.
Chitose
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
-
E.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
- 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: Miyazaki Triple: [JST, usedByCity, Miyazaki]
Generated description
Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miyazaki Target entity description: Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
C.
Kyushu
Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
-
D.
Chitose
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
-
E.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
- 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_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_69a52ea6ac6c8190820a6d88450909bd |
completed | March 2, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a5320fdb848190875579b7cb328a43 |
completed | March 2, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a532951b108190946425c3135baad1 |
completed | March 2, 2026, 6:47 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.