Triple

T11270409
Position Surface form Disambiguated ID Type / Status
Subject Emperor Monmu E266795 entity
Predicate eraNameUsed P2938 FINISHED
Object Taihō
Taihō was a Japanese era (nengō) of the early 8th century, notable for major governmental reforms such as the Taihō Code that helped shape the ritsuryō state.
 E916119 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: Taihō | Statement: [Emperor Monmu, eraNameUsed, Taihō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taihō
Context triple: [Emperor Monmu, eraNameUsed, Taihō]
  • A. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • B. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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: Taihō
Triple: [Emperor Monmu, eraNameUsed, Taihō]
Generated description
Taihō was a Japanese era (nengō) of the early 8th century, notable for major governmental reforms such as the Taihō Code that helped shape the ritsuryō state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taihō
Target entity description: Taihō was a Japanese era (nengō) of the early 8th century, notable for major governmental reforms such as the Taihō Code that helped shape the ritsuryō state.
  • A. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • B. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9506204819089dc0827483bd948 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4229c7081909da6b22ee6bf4905 completed April 19, 2026, 3:26 p.m.
NEDg Description generation batch_69e4f9596e1081908e7b319f77453438 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff5881b8819080f9662a0c2d486d completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.