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.