Triple
T12535136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamato area |
E299667
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Mount Miwa
Mount Miwa is a sacred mountain in Nara Prefecture, Japan, revered in Shinto tradition and associated with the ancient Ōmiwa Shrine.
|
E1002167
|
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: Mount Miwa | Statement: [Yamato area, near, Mount Miwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Miwa Context triple: [Yamato area, near, Mount Miwa]
-
A.
Mount Fuso
Mount Fuso is a Japanese mountain whose name was used for the Imperial Japanese Navy battleship Fusō.
-
B.
Mount Ohiri
Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
-
C.
Mount Tsurumi
Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
-
D.
Mount Goryu
Mount Goryu is a prominent peak in Japan’s Northern Alps, known for its ski resorts and alpine hiking within the Hakuba Valley area.
-
E.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
- 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: Mount Miwa Triple: [Yamato area, near, Mount Miwa]
Generated description
Mount Miwa is a sacred mountain in Nara Prefecture, Japan, revered in Shinto tradition and associated with the ancient Ōmiwa Shrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Miwa Target entity description: Mount Miwa is a sacred mountain in Nara Prefecture, Japan, revered in Shinto tradition and associated with the ancient Ōmiwa Shrine.
-
A.
Mount Fuso
Mount Fuso is a Japanese mountain whose name was used for the Imperial Japanese Navy battleship Fusō.
-
B.
Mount Ohiri
Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
-
C.
Mount Tsurumi
Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
-
D.
Mount Goryu
Mount Goryu is a prominent peak in Japan’s Northern Alps, known for its ski resorts and alpine hiking within the Hakuba Valley area.
-
E.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d672808190b72a923e285a91bb |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f68687e15481908d1ddd017747695f |
completed | May 2, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686ec54288190bd1adcbd9c900c90 |
completed | May 2, 2026, 11:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.