Triple
T17919067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Nikko-Shirane |
E448015
|
entity |
| Predicate | hasCraterLake |
P18447
|
FINISHED |
| Object |
Goshikinuma
Goshikinuma is a scenic volcanic crater lake in Japan known for its strikingly colored waters formed by mineral-rich activity on Mount Nikko-Shirane.
|
E1309648
|
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: Goshikinuma | Statement: [Mount Nikko-Shirane, hasCraterLake, Goshikinuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goshikinuma Context triple: [Mount Nikko-Shirane, hasCraterLake, Goshikinuma]
-
A.
Katsurahama
Katsurahama is a scenic, crescent-shaped beach in Kōchi Prefecture, Japan, famed for its views of the Pacific Ocean and its statue of samurai hero Sakamoto Ryōma.
-
B.
Nakadake
Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
-
C.
Nakadake
Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
-
D.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
E.
Kawasoe
Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
- 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: Goshikinuma Triple: [Mount Nikko-Shirane, hasCraterLake, Goshikinuma]
Generated description
Goshikinuma is a scenic volcanic crater lake in Japan known for its strikingly colored waters formed by mineral-rich activity on Mount Nikko-Shirane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goshikinuma Target entity description: Goshikinuma is a scenic volcanic crater lake in Japan known for its strikingly colored waters formed by mineral-rich activity on Mount Nikko-Shirane.
-
A.
Katsurahama
Katsurahama is a scenic, crescent-shaped beach in Kōchi Prefecture, Japan, famed for its views of the Pacific Ocean and its statue of samurai hero Sakamoto Ryōma.
-
B.
Nakadake
Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
-
C.
Nakadake
Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
-
D.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
E.
Kawasoe
Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fa4742881908e476000e24079ae |
completed | May 12, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_6a03920ab9ac8190adac3976ffe3bde2 |
completed | May 12, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392edfe6c81908082f99ff2e05c0c |
completed | May 12, 2026, 8:51 p.m. |
Created at: April 10, 2026, 10:20 a.m.