Triple
T12296365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Daimonji |
E293095
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Daimonji-yama
Daimonji-yama is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
|
E996203
|
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: Daimonji-yama | Statement: [Mount Daimonji, alsoKnownAs, Daimonji-yama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daimonji-yama Context triple: [Mount Daimonji, alsoKnownAs, Daimonji-yama]
-
A.
Kurohime-yama
Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
-
B.
Kurohime-yama
Kurohime-yama is a mountain in Japan, known for its scenic landscapes and popular hiking and skiing opportunities.
-
C.
Wakakusa-yama
Wakakusa-yama is a grass-covered hill in Nara, Japan, known for its panoramic views and the annual Yamayaki fire festival in which its slopes are set ablaze.
-
D.
Suribachi-yama
Suribachi-yama is a small volcanic hill on Iwo Jima, Japan, best known as the site of the iconic World War II flag-raising photograph by U.S. Marines.
-
E.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
- 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: Daimonji-yama Triple: [Mount Daimonji, alsoKnownAs, Daimonji-yama]
Generated description
Daimonji-yama is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daimonji-yama Target entity description: Daimonji-yama is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
-
A.
Kurohime-yama
Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
-
B.
Kurohime-yama
Kurohime-yama is a mountain in Japan, known for its scenic landscapes and popular hiking and skiing opportunities.
-
C.
Wakakusa-yama
Wakakusa-yama is a grass-covered hill in Nara, Japan, known for its panoramic views and the annual Yamayaki fire festival in which its slopes are set ablaze.
-
D.
Suribachi-yama
Suribachi-yama is a small volcanic hill on Iwo Jima, Japan, best known as the site of the iconic World War II flag-raising photograph by U.S. Marines.
-
E.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed903808190b7ed90e0db3d7586 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685205608190b504ab6e7c73ee51 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 8, 2026, 9:52 p.m.