Triple

T732420
Position Surface form Disambiguated ID Type / Status
Subject Operation Ten-Go E14859 entity
Predicate codeName P744 FINISHED
Object Ten-Go
Ten-Go was the codename for Japan’s final major naval operation in World War II, centered on the battleship Yamato’s doomed sortie toward Okinawa in April 1945.
 E88202 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: Ten-Go | Statement: [Operation Ten-Go, codeName, Ten-Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ten-Go
Context triple: [Operation Ten-Go, codeName, Ten-Go]
  • A. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • B. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • C. Naikaku Sōri Daijin
    Naikaku Sōri Daijin is the Japanese term for the Prime Minister of Japan, the head of government and chief executive authority in the country’s political system.
  • D. Namba Grand Kagetsu
    Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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: Ten-Go
Triple: [Operation Ten-Go, codeName, Ten-Go]
Generated description
Ten-Go was the codename for Japan’s final major naval operation in World War II, centered on the battleship Yamato’s doomed sortie toward Okinawa in April 1945.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ten-Go
Target entity description: Ten-Go was the codename for Japan’s final major naval operation in World War II, centered on the battleship Yamato’s doomed sortie toward Okinawa in April 1945.
  • A. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • B. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • C. Naikaku Sōri Daijin
    Naikaku Sōri Daijin is the Japanese term for the Prime Minister of Japan, the head of government and chief executive authority in the country’s political system.
  • D. Namba Grand Kagetsu
    Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5c9d248190b0bebfd0e999643a completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e4ae3b4819099da917053197627 completed March 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69a64eb30e80819096ac54a526eea79d completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:37 p.m.