Triple
T15885275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Kussharo |
E385175
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Sunayu
Sunayu is a popular sandy lakeside hot spring area on the shores of Lake Kussharo in Hokkaido, Japan, known for its natural footbaths and scenic views.
|
E1183335
|
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: Sunayu | Statement: [Lake Kussharo, hasNearbyAttraction, Sunayu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunayu Context triple: [Lake Kussharo, hasNearbyAttraction, Sunayu]
-
A.
Sunay
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
-
B.
Sanae
Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
-
C.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
D.
Ahirani
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
E.
Amaya Namani
Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
- 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: Sunayu Triple: [Lake Kussharo, hasNearbyAttraction, Sunayu]
Generated description
Sunayu is a popular sandy lakeside hot spring area on the shores of Lake Kussharo in Hokkaido, Japan, known for its natural footbaths and scenic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunayu Target entity description: Sunayu is a popular sandy lakeside hot spring area on the shores of Lake Kussharo in Hokkaido, Japan, known for its natural footbaths and scenic views.
-
A.
Sunay
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
-
B.
Sanae
Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
-
C.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
D.
Ahirani
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
E.
Amaya Namani
Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04598e0819094274868941195b9 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb1570324819086dfd14bab516811 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1eedaf481908d70e3517fbd5492 |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:51 a.m.