Triple

T603458
Position Surface form Disambiguated ID Type / Status
Subject Mikuma E11544 entity
Predicate sisterShip P3142 FINISHED
Object Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
 E116703 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: Kumano | Statement: [Mikuma, sisterShip, Kumano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumano
Context triple: [Mikuma, sisterShip, Kumano]
  • A. Izumo
    Izumo is a coastal city in Japan’s Shimane Prefecture, best known for the ancient Shinto shrine Izumo Taisha, one of the country’s most important religious sites.
  • B. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • C. Naka-ku
    Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
  • D. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • E. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • 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: Kumano
Triple: [Mikuma, sisterShip, Kumano]
Generated description
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumano
Target entity description: Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • A. Izumo
    Izumo is a coastal city in Japan’s Shimane Prefecture, best known for the ancient Shinto shrine Izumo Taisha, one of the country’s most important religious sites.
  • B. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • C. Naka-ku
    Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
  • D. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • E. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc4f7d08190990f70b9b3af6ce5 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2573c6a48190bfe9b7f2ec026462 completed March 7, 2026, 1:17 p.m.
NEDg Description generation batch_69ac25dc9ee88190b7d7e72c6f7c8c76 completed March 7, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac2636ef5c8190909ff4e65c6787c5 completed March 7, 2026, 1:20 p.m.
Created at: March 1, 2026, 7:35 p.m.