Triple
T17369629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Antoku |
E422275
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Dan-no-ura |
—
|
NE ONDG |
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: Dan-no-ura | Statement: [Emperor Antoku, deathPlace, Dan-no-ura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan-no-ura Context triple: [Emperor Antoku, deathPlace, Dan-no-ura]
-
A.
Amakashi-no-oka
Amakashi-no-oka is a historic hill in Japan’s Asuka region, known as an ancient political and cultural center associated with early Japanese state formation.
-
B.
Kanmon Kaikyo
Kanmon Kaikyo is the narrow sea channel separating Japan’s Honshu and Kyushu islands, serving as a vital maritime passage and transport link between the Sea of Japan and the Seto Inland Sea.
-
C.
Tenryū
Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
-
D.
Omori-kaigan
Omori-kaigan is a coastal neighborhood in Ōta Ward, Tokyo, known for its residential character and proximity to Tokyo Bay.
-
E.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
- 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: Dan-no-ura Triple: [Emperor Antoku, deathPlace, Dan-no-ura]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan-no-ura Target entity description: Dan-no-ura is a historic strait and former battlefield in Japan, best known as the site of the decisive 1185 naval clash between the Taira and Minamoto clans that ended the Genpei War.
-
A.
Amakashi-no-oka
Amakashi-no-oka is a historic hill in Japan’s Asuka region, known as an ancient political and cultural center associated with early Japanese state formation.
-
B.
Kanmon Kaikyo
Kanmon Kaikyo is the narrow sea channel separating Japan’s Honshu and Kyushu islands, serving as a vital maritime passage and transport link between the Sea of Japan and the Seto Inland Sea.
-
C.
Tenryū
Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
-
D.
Omori-kaigan
Omori-kaigan is a coastal neighborhood in Ōta Ward, Tokyo, known for its residential character and proximity to Tokyo Bay.
-
E.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
- F. None of above. chosen
Provenance (4 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.