Triple
T14495081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinohara |
E359474
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Mount Mito
Mount Mito is a scenic mountain in western Tokyo, Japan, known for its forested hiking trails and panoramic views of the surrounding Okutama region.
|
E1210575
|
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 Mito | Statement: [Hinohara, hasMountain, Mount Mito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Mito Context triple: [Hinohara, hasMountain, Mount Mito]
-
A.
Mount Suiro
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
-
B.
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.
-
C.
Mount Kita
Mount Kita is Japan's second-highest mountain, a prominent peak in the Akaishi Mountains renowned for its alpine scenery and popular hiking routes.
-
D.
Mount Tairyu
Mount Tairyu is a mountain in Tokushima Prefecture, Japan, best known as the site of Tairyuji, the 21st temple on the Shikoku Pilgrimage.
-
E.
Mount Sankaku
Mount Sankaku is a small, popular hiking and viewpoint mountain located in Nishi-ku, Sapporo, Japan.
- 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 Mito Triple: [Hinohara, hasMountain, Mount Mito]
Generated description
Mount Mito is a scenic mountain in western Tokyo, Japan, known for its forested hiking trails and panoramic views of the surrounding Okutama region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Mito Target entity description: Mount Mito is a scenic mountain in western Tokyo, Japan, known for its forested hiking trails and panoramic views of the surrounding Okutama region.
-
A.
Mount Suiro
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
-
B.
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.
-
C.
Mount Kita
Mount Kita is Japan's second-highest mountain, a prominent peak in the Akaishi Mountains renowned for its alpine scenery and popular hiking routes.
-
D.
Mount Tairyu
Mount Tairyu is a mountain in Tokushima Prefecture, Japan, best known as the site of Tairyuji, the 21st temple on the Shikoku Pilgrimage.
-
E.
Mount Sankaku
Mount Sankaku is a small, popular hiking and viewpoint mountain located in Nishi-ku, Sapporo, Japan.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035428e608190b8bb41dabda044d1 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a00377305bc8190a566c4ed4aed70c9 |
completed | May 10, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037e43a2c8190993447ade595f6e6 |
completed | May 10, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:21 a.m.