Triple

T21716739
Position Surface form Disambiguated ID Type / Status
Subject Kagerō-class destroyer E536049 entity
Predicate hasPart P35 FINISHED
Object Nowaki
Nowaki was an Imperial Japanese Navy destroyer of the Kagerō class that saw extensive service during World War II before being sunk in 1944.
 E1552811 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: Nowaki | Statement: [Kagerō-class destroyer, hasPart, Nowaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nowaki
Context triple: [Kagerō-class destroyer, hasPart, Nowaki]
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Naitō
    Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • 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: Nowaki
Triple: [Kagerō-class destroyer, hasPart, Nowaki]
Generated description
Nowaki was an Imperial Japanese Navy destroyer of the Kagerō class that saw extensive service during World War II before being sunk in 1944.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nowaki
Target entity description: Nowaki was an Imperial Japanese Navy destroyer of the Kagerō class that saw extensive service during World War II before being sunk in 1944.
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Naitō
    Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • 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_6a0b97fc2600819085486a9d540c9df3 completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9884cb548190958d16f42be4bea8 completed May 18, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b98e7887881909ec9cc4a2a2167c5 completed May 18, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:47 p.m.