Triple

T9765474
Position Surface form Disambiguated ID Type / Status
Subject Mobile Fleet E236977 entity
Predicate notableShip P3345 FINISHED
Object Hiyō
Hiyō was a Japanese aircraft carrier of the Imperial Japanese Navy that served in the Pacific Theater during World War II.
 E835586 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: Hiyō | Statement: [Mobile Fleet, notableShip, Hiyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hiyō
Context triple: [Mobile Fleet, notableShip, Hiyō]
  • A. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • B. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • C. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • E. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • 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: Hiyō
Triple: [Mobile Fleet, notableShip, Hiyō]
Generated description
Hiyō was a Japanese aircraft carrier of the Imperial Japanese Navy that served in the Pacific Theater during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hiyō
Target entity description: Hiyō was a Japanese aircraft carrier of the Imperial Japanese Navy that served in the Pacific Theater during World War II.
  • A. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • B. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • C. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • E. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a040988190b1c940f9e5c42f9c completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2699ec50481908d83d3d22e102fb2 completed April 5, 2026, 1:54 p.m.
NEDg Description generation batch_69d26b3e1b948190a76cf7ad91a1e0a5 completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:25 p.m.