Triple

T2803720
Position Surface form Disambiguated ID Type / Status
Subject Japanese aircraft carrier Ryūjō E54003 entity
Predicate nativeName P15 FINISHED
Object 龍驤
龍驤 was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II, including in the Pacific Theater, before being sunk in 1942.
 E300485 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: 龍驤 | Statement: [Japanese aircraft carrier Ryūjō, nativeName, 龍驤]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 龍驤
Context triple: [Japanese aircraft carrier Ryūjō, nativeName, 龍驤]
  • A. Lord Shang
    Lord Shang was an influential Chinese statesman and legalist reformer of the Warring States period, best known for transforming the state of Qin into a highly centralized and powerful military state.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Bai Qi
    Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
  • D. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • E. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • 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: 龍驤
Triple: [Japanese aircraft carrier Ryūjō, nativeName, 龍驤]
Generated description
龍驤 was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II, including in the Pacific Theater, before being sunk in 1942.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 龍驤
Target entity description: 龍驤 was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II, including in the Pacific Theater, before being sunk in 1942.
  • A. Lord Shang
    Lord Shang was an influential Chinese statesman and legalist reformer of the Warring States period, best known for transforming the state of Qin into a highly centralized and powerful military state.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Bai Qi
    Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
  • D. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • E. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc671964c81908cff1cfbd70c3786 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afcb9f73588190852ec35db9d9a7fd completed March 10, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69afcc0ddc188190a0d79974701556dd completed March 10, 2026, 7:45 a.m.
Created at: March 6, 2026, 9:59 p.m.