Triple
T17807795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hachimantai |
E444611
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
八幡平
八幡平は、岩手県と秋田県にまたがるなだらかな山岳高原で、十和田八幡平国立公園の一部として湿原や火山地形が広がる景勝地です。
|
E1289791
|
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: 八幡平 | Statement: [Mount Hachimantai, hasNameInJapanese, 八幡平]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 八幡平 Context triple: [Mount Hachimantai, hasNameInJapanese, 八幡平]
-
A.
高野山
高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.
-
B.
比叡山
比叡山は滋賀県と京都府にまたがる山で、日本仏教に大きな影響を与えた天台宗の総本山・延暦寺が置かれている霊峰です。
-
C.
御嶽山
御嶽山 is a sacred stratovolcano in central Japan known for its religious significance, popular hiking routes, and a deadly 2014 phreatic eruption.
-
D.
稲荷山
稲荷山 is a sacred mountain in Kyoto, Japan, best known as the site of Fushimi Inari Taisha and its thousands of vermilion torii gates.
-
E.
榛名山
榛名山 is an active volcanic mountain and popular scenic and spiritual destination in Gunma Prefecture, Japan, known for its caldera lake, hot springs, and historic shrines.
- 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: 八幡平 Triple: [Mount Hachimantai, hasNameInJapanese, 八幡平]
Generated description
八幡平は、岩手県と秋田県にまたがるなだらかな山岳高原で、十和田八幡平国立公園の一部として湿原や火山地形が広がる景勝地です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 八幡平 Target entity description: 八幡平は、岩手県と秋田県にまたがるなだらかな山岳高原で、十和田八幡平国立公園の一部として湿原や火山地形が広がる景勝地です。
-
A.
高野山
高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.
-
B.
比叡山
比叡山は滋賀県と京都府にまたがる山で、日本仏教に大きな影響を与えた天台宗の総本山・延暦寺が置かれている霊峰です。
-
C.
御嶽山
御嶽山 is a sacred stratovolcano in central Japan known for its religious significance, popular hiking routes, and a deadly 2014 phreatic eruption.
-
D.
稲荷山
稲荷山 is a sacred mountain in Kyoto, Japan, best known as the site of Fushimi Inari Taisha and its thousands of vermilion torii gates.
-
E.
榛名山
榛名山 is an active volcanic mountain and popular scenic and spiritual destination in Gunma Prefecture, Japan, known for its caldera lake, hot springs, and historic shrines.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff5e7d7881908bf08022930edbc1 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a0300ca1ac88190b474ac8276d55445 |
completed | May 12, 2026, 10:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03017f7ea08190b3a98db1c429d04f |
completed | May 12, 2026, 10:31 a.m. |
Created at: April 10, 2026, 10:14 a.m.