Triple
T9182869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga Prefecture |
E220376
|
entity |
| Predicate | hasHotSpringArea |
P1094
|
FINISHED |
| Object |
Takeo Onsen
Takeo Onsen is a historic hot spring resort town in Saga Prefecture, Japan, known for its traditional bathhouses, therapeutic waters, and distinctive red-lacquered gate.
|
E795301
|
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: Takeo Onsen | Statement: [Saga Prefecture, hasHotSpringArea, Takeo Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeo Onsen Context triple: [Saga Prefecture, hasHotSpringArea, Takeo Onsen]
-
A.
Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
-
B.
Katayama Tōkuma
Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
-
C.
Masatake
Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
-
D.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
E.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
- 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: Takeo Onsen Triple: [Saga Prefecture, hasHotSpringArea, Takeo Onsen]
Generated description
Takeo Onsen is a historic hot spring resort town in Saga Prefecture, Japan, known for its traditional bathhouses, therapeutic waters, and distinctive red-lacquered gate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takeo Onsen Target entity description: Takeo Onsen is a historic hot spring resort town in Saga Prefecture, Japan, known for its traditional bathhouses, therapeutic waters, and distinctive red-lacquered gate.
-
A.
Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
-
B.
Katayama Tōkuma
Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
-
C.
Masatake
Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
-
D.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
E.
Sadaharu
Sadaharu is the given name of Sadaharu Oh, the legendary Japanese-Taiwanese baseball player and home run record holder.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc2553e548190898434aeda517407 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f36f72bc8190bf195a78bafcd873 |
completed | April 4, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d0f74ebcf881909bc72e94094f6764 |
completed | April 4, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f7b6045c819086fbf07846bedfa2 |
completed | April 4, 2026, 11:36 a.m. |
Created at: March 30, 2026, 7:23 p.m.