Triple

T21716726
Position Surface form Disambiguated ID Type / Status
Subject Kagerō-class destroyer E536049 entity
Predicate hasPart P35 FINISHED
Object Shiranui
Shiranui was an Imperial Japanese Navy destroyer of the Kagerō class that served during World War II in the Pacific theater.
 E1559714 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: Shiranui | Statement: [Kagerō-class destroyer, hasPart, Shiranui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiranui
Context triple: [Kagerō-class destroyer, hasPart, Shiranui]
  • A. Kishimadake
    Kishimadake is one of the volcanic cones forming part of Japan’s Mount Aso, one of the world’s largest active caldera volcanoes.
  • B. Nyoigatake
    Nyoigatake is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
  • C. Inariyama
    Inariyama is the Japanese name for Mount Inari, a sacred mountain in Kyoto famed for its thousands of vermilion torii gates and the Fushimi Inari Taisha shrine.
  • D. Kurohime-yama
    Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
  • E. Kurohime-yama
    Kurohime-yama is a mountain in Japan, known for its scenic landscapes and popular hiking and skiing opportunities.
  • 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: Shiranui
Triple: [Kagerō-class destroyer, hasPart, Shiranui]
Generated description
Shiranui was an Imperial Japanese Navy destroyer of the Kagerō class that served during World War II in the Pacific theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiranui
Target entity description: Shiranui was an Imperial Japanese Navy destroyer of the Kagerō class that served during World War II in the Pacific theater.
  • A. Kishimadake
    Kishimadake is one of the volcanic cones forming part of Japan’s Mount Aso, one of the world’s largest active caldera volcanoes.
  • B. Nyoigatake
    Nyoigatake is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
  • C. Inariyama
    Inariyama is the Japanese name for Mount Inari, a sacred mountain in Kyoto famed for its thousands of vermilion torii gates and the Fushimi Inari Taisha shrine.
  • D. Kurohime-yama
    Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
  • E. Kurohime-yama
    Kurohime-yama is a mountain in Japan, known for its scenic landscapes and popular hiking and skiing opportunities.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9a644ac81908759165afee762d1 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb59ff98819081ccb651f6a1d154 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc1bd0808190a0a5f8f603308b45 completed May 19, 2026, 1:25 a.m.
Created at: April 16, 2026, 6:47 p.m.