Triple
T14023198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 空母「赤城」 |
E337386
|
entity |
| Predicate | 艦名由来 |
P92488
|
FINISHED |
| Object |
群馬県の赤城山
群馬県の赤城山は、関東平野北部にそびえる火山で、カルデラ湖の大沼や豊かな自然景観で知られる名山です。
|
E1075216
|
NE FINISHED |
How this triple was built (5 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: 群馬県の赤城山 | Statement: [空母「赤城」, 艦名由来, 群馬県の赤城山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 群馬県の赤城山 Context triple: [空母「赤城」, 艦名由来, 群馬県の赤城山]
-
A.
Mount Takao
Mount Takao is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and seasonal foliage.
-
B.
Mount Hakkoda
Mount Hakkoda is a volcanic mountain complex in northern Honshu, Japan, known for its heavy snowfall, scenic hiking, and tragic 1902 military snowstorm disaster.
-
C.
Mount Mitake
Mount Mitake is a popular sacred mountain in Tokyo’s Okutama region, known for its ancient Shinto shrine, hiking trails, and scenic views within the Chichibu-Tama-Kai National Park.
-
D.
Mount Ōmine
Mount Ōmine is a sacred mountain in Japan’s Nara Prefecture, renowned as a major center of Shugendō mountain asceticism and a UNESCO World Heritage pilgrimage site.
-
E.
Mount Tsukuba
Mount Tsukuba is a famous double-peaked mountain in Japan known for its scenic views, religious significance, and popular hiking trails.
- 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: 群馬県の赤城山 Triple: [空母「赤城」, 艦名由来, 群馬県の赤城山]
Generated description
群馬県の赤城山は、関東平野北部にそびえる火山で、カルデラ湖の大沼や豊かな自然景観で知られる名山です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 群馬県の赤城山 Target entity description: 群馬県の赤城山は、関東平野北部にそびえる火山で、カルデラ湖の大沼や豊かな自然景観で知られる名山です。
-
A.
Mount Takao
Mount Takao is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and seasonal foliage.
-
B.
Mount Hakkoda
Mount Hakkoda is a volcanic mountain complex in northern Honshu, Japan, known for its heavy snowfall, scenic hiking, and tragic 1902 military snowstorm disaster.
-
C.
Mount Mitake
Mount Mitake is a popular sacred mountain in Tokyo’s Okutama region, known for its ancient Shinto shrine, hiking trails, and scenic views within the Chichibu-Tama-Kai National Park.
-
D.
Mount Ōmine
Mount Ōmine is a sacred mountain in Japan’s Nara Prefecture, renowned as a major center of Shugendō mountain asceticism and a UNESCO World Heritage pilgrimage site.
-
E.
Mount Tsukuba
Mount Tsukuba is a famous double-peaked mountain in Japan known for its scenic views, religious significance, and popular hiking trails.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 艦名由来 Context triple: [空母「赤城」, 艦名由来, 群馬県の赤城山]
-
A.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
B.
所属艦
Indicates a relationship where something belongs to, is assigned to, or is part of a particular ship.
-
C.
vesselNamedAfter
chosen
Indicates that a vessel (such as a ship or boat) bears a name derived from or in honor of a particular person, place, event, or entity.
-
D.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
-
E.
flagshipCarrierOf
Indicates that one entity serves as the primary or most prominent carrier (such as an airline or telecommunications provider) representing or associated with another entity, typically a country, brand, or organization.
- F. None of above.
Provenance (6 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3d87b88190b038d334f4965369 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33170ec8190b0ffe41a567a590b |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc6d1048081908fb2e798cbc9902f |
completed | May 6, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc76610008190bd3c7f357666c8db |
completed | May 6, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.