Triple
T17143928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tsurumi |
E416039
|
entity |
| Predicate | JapaneseName |
P744
|
FINISHED |
| Object |
鶴見岳
鶴見岳 is a volcanic mountain in Ōita Prefecture on Japan’s Kyushu Island, known for its panoramic views, seasonal scenery, and accessibility via the Beppu Ropeway.
|
E1253237
|
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: 鶴見岳 | Statement: [Mount Tsurumi, JapaneseName, 鶴見岳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鶴見岳 Context triple: [Mount Tsurumi, JapaneseName, 鶴見岳]
-
A.
野呂山
野呂山 is a scenic mountain in Hiroshima Prefecture, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing spots.
-
B.
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.
-
C.
Mount Rokko
Mount Rokko is a prominent mountain range near Kobe, Japan, known for its panoramic night views, hiking trails, and recreational facilities.
-
D.
Hotsumisakiji-san
Hotsumisakiji-san is the sacred mountain in Kōchi Prefecture, Japan, on whose slopes the Shikoku Pilgrimage’s 24th temple, Hotsumisakiji, is located.
-
E.
奥穂高岳
奥穂高岳は、日本アルプスの一部である北アルプスに位置する日本第三位の高峰で、登山やアルピニズムの名山として知られる山である。
- 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: 鶴見岳 Triple: [Mount Tsurumi, JapaneseName, 鶴見岳]
Generated description
鶴見岳 is a volcanic mountain in Ōita Prefecture on Japan’s Kyushu Island, known for its panoramic views, seasonal scenery, and accessibility via the Beppu Ropeway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 鶴見岳 Target entity description: 鶴見岳 is a volcanic mountain in Ōita Prefecture on Japan’s Kyushu Island, known for its panoramic views, seasonal scenery, and accessibility via the Beppu Ropeway.
-
A.
野呂山
野呂山 is a scenic mountain in Hiroshima Prefecture, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing spots.
-
B.
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.
-
C.
Mount Rokko
Mount Rokko is a prominent mountain range near Kobe, Japan, known for its panoramic night views, hiking trails, and recreational facilities.
-
D.
Hotsumisakiji-san
Hotsumisakiji-san is the sacred mountain in Kōchi Prefecture, Japan, on whose slopes the Shikoku Pilgrimage’s 24th temple, Hotsumisakiji, is located.
-
E.
奥穂高岳
奥穂高岳は、日本アルプスの一部である北アルプスに位置する日本第三位の高峰で、登山やアルピニズムの名山として知られる山である。
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415718c88190834fedae7b01ac69 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a014529e7908190bab3e351cdc78c7c |
completed | May 11, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014595ca108190ad1587287987fc01 |
completed | May 11, 2026, 2:57 a.m. |
Created at: April 10, 2026, 5:36 a.m.