Triple
T679513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyushu |
E13149
|
entity |
| Predicate | hasHotSpringArea |
P1094
|
FINISHED |
| Object |
Yufuin
Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
|
E141795
|
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: Yufuin | Statement: [Kyushu, hasHotSpringArea, Yufuin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yufuin Context triple: [Kyushu, hasHotSpringArea, Yufuin]
-
A.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
B.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
C.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
D.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
E.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
- 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: Yufuin Triple: [Kyushu, hasHotSpringArea, Yufuin]
Generated description
Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yufuin Target entity description: Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
-
A.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
B.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
C.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
D.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
E.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a518e6348190b467c2fab3fd1f11 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6056588190af5d66c319ccd0e4 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fd90ea88190b154bb7d72768dae |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac90412d3881909278a9a6c6536ce3 |
completed | March 7, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.