Triple
T16404692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatsumaki Jigoku |
E398394
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Beppu City
Beppu City is a famous hot spring resort city in Ōita Prefecture, Japan, renowned for its numerous onsen and unique geothermal attractions.
|
E1211727
|
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: Beppu City | Statement: [Tatsumaki Jigoku, municipality, Beppu City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beppu City Context triple: [Tatsumaki Jigoku, municipality, Beppu City]
-
A.
Suwa City
Suwa City is a regional city in central Japan known for its scenic Lake Suwa, hot springs, precision manufacturing industry, and the historic Suwa Taisha shrine complex.
-
B.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
C.
Miyakonojō
Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
-
D.
Kagoshima City
Kagoshima City is a major city in southern Japan’s Kyushu region, known for its active Sakurajima volcano, scenic bay setting, and role as a historic and industrial center.
-
E.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
- 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: Beppu City Triple: [Tatsumaki Jigoku, municipality, Beppu City]
Generated description
Beppu City is a famous hot spring resort city in Ōita Prefecture, Japan, renowned for its numerous onsen and unique geothermal attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beppu City Target entity description: Beppu City is a famous hot spring resort city in Ōita Prefecture, Japan, renowned for its numerous onsen and unique geothermal attractions.
-
A.
Suwa City
Suwa City is a regional city in central Japan known for its scenic Lake Suwa, hot springs, precision manufacturing industry, and the historic Suwa Taisha shrine complex.
-
B.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
C.
Miyakonojō
Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
-
D.
Kagoshima City
Kagoshima City is a major city in southern Japan’s Kyushu region, known for its active Sakurajima volcano, scenic bay setting, and role as a historic and industrial center.
-
E.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dd7e9d481908822da391112eb39 |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.