Triple
T6078496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinosaki Onsen |
E135461
|
entity |
| Predicate | hasBathhouse |
P68523
|
FINISHED |
| Object |
Mandara-yu
Mandara-yu is a traditional public hot spring bathhouse located in the historic Kinosaki Onsen resort town in Japan.
|
E567645
|
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: Mandara-yu | Statement: [Kinosaki Onsen, hasBathhouse, Mandara-yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandara-yu Context triple: [Kinosaki Onsen, hasBathhouse, Mandara-yu]
-
A.
Mandara
Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
-
B.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
C.
Yama
Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
-
D.
Yamate
Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
-
E.
Yamadera
Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
- 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: Mandara-yu Triple: [Kinosaki Onsen, hasBathhouse, Mandara-yu]
Generated description
Mandara-yu is a traditional public hot spring bathhouse located in the historic Kinosaki Onsen resort town in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandara-yu Target entity description: Mandara-yu is a traditional public hot spring bathhouse located in the historic Kinosaki Onsen resort town in Japan.
-
A.
Mandara
Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
-
B.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
C.
Yama
Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
-
D.
Yamate
Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
-
E.
Yamadera
Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057706d9881909b52093282593886 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d48f0508190991453dc17c53b89 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11ed5a5748190b7320890397c8ce9 |
completed | March 23, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f34218c819094ce32eafff37489 |
completed | March 23, 2026, 11:08 a.m. |
Created at: March 22, 2026, 4:11 p.m.