Triple
T22184410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Inubō |
E548254
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
犬吠埼
犬吠埼 is a well-known cape on the easternmost tip of the Kantō region in Chiba Prefecture, Japan, famous for its lighthouse and scenic Pacific Ocean views.
|
E1523402
|
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: 犬吠埼 | Statement: [Cape Inubō, hasJapaneseName, 犬吠埼]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 犬吠埼 Context triple: [Cape Inubō, hasJapaneseName, 犬吠埼]
-
A.
石狩湾
石狩湾は北海道西部、日本海に面して札幌近郊に広がる湾で、石狩川の河口を抱える海域として知られる。
-
B.
柏崎港
柏崎港 is a coastal port in Niigata Prefecture, Japan, serving the city of Kashiwazaki for maritime transport and local industry.
-
C.
両津湾
両津湾 is a coastal bay located on Sado Island in Niigata Prefecture, Japan, known for its natural harbor and surrounding scenic landscapes.
-
D.
吉野
吉野は、奈良県に位置し桜の名所として知られる古来より歌人や修行者に愛された山里の地である。
-
E.
厳原港
厳原港 is the main ferry and maritime gateway of Tsushima Island in Nagasaki Prefecture, connecting it with other parts of Japan and nearby regions.
- 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: 犬吠埼 Triple: [Cape Inubō, hasJapaneseName, 犬吠埼]
Generated description
犬吠埼 is a well-known cape on the easternmost tip of the Kantō region in Chiba Prefecture, Japan, famous for its lighthouse and scenic Pacific Ocean views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 犬吠埼 Target entity description: 犬吠埼 is a well-known cape on the easternmost tip of the Kantō region in Chiba Prefecture, Japan, famous for its lighthouse and scenic Pacific Ocean views.
-
A.
石狩湾
石狩湾は北海道西部、日本海に面して札幌近郊に広がる湾で、石狩川の河口を抱える海域として知られる。
-
B.
柏崎港
柏崎港 is a coastal port in Niigata Prefecture, Japan, serving the city of Kashiwazaki for maritime transport and local industry.
-
C.
両津湾
両津湾 is a coastal bay located on Sado Island in Niigata Prefecture, Japan, known for its natural harbor and surrounding scenic landscapes.
-
D.
吉野
吉野は、奈良県に位置し桜の名所として知られる古来より歌人や修行者に愛された山里の地である。
-
E.
厳原港
厳原港 is the main ferry and maritime gateway of Tsushima Island in Nagasaki Prefecture, connecting it with other parts of Japan and nearby regions.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa75440819084cbe9176b9edb47 |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ecd0a7881909dbda649b8474ff1 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9f494f3c8190aee8f2e6dc1af763 |
completed | May 18, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa03a8e0c819089dc48473b5b743c |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:35 p.m.