Triple

T22603140
Position Surface form Disambiguated ID Type / Status
Subject Emperor Go-Daigo E574882 entity
Predicate eraName P2938 FINISHED
Object Genkō
Genkō was a Japanese era name (nengō) used during the reign of Emperor Go-Daigo in the early 14th century.
E1546505 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: Genkō | Statement: [Emperor Go-Daigo, eraName, Genkō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genkō
Context triple: [Emperor Go-Daigo, eraName, Genkō]
  • A. Genkū
    Genkū is the religious name of Hōnen, the influential Japanese Buddhist priest who founded the Jōdo-shū (Pure Land) school in the late 12th century.
  • B. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • C. Kantokuen
    Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
  • D. Jōhō
    Jōhō was a Japanese era of the late 11th century, notable as part of the Heian period court calendar system.
  • E. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • 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: Genkō
Triple: [Emperor Go-Daigo, eraName, Genkō]
Generated description
Genkō was a Japanese era name (nengō) used during the reign of Emperor Go-Daigo in the early 14th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Genkō
Target entity description: Genkō was a Japanese era name (nengō) used during the reign of Emperor Go-Daigo in the early 14th century.
  • A. Genkū
    Genkū is the religious name of Hōnen, the influential Japanese Buddhist priest who founded the Jōdo-shū (Pure Land) school in the late 12th century.
  • B. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • C. Kantokuen
    Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
  • D. Jōhō
    Jōhō was a Japanese era of the late 11th century, notable as part of the Heian period court calendar system.
  • E. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626eb178819096866d03a78f82fc completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4df72f2c819095311b64d5c9a400 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b51e5b7a0819098f9b93051c27ca2 completed May 18, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0b529631048190ae49bb7ca38d669e completed May 18, 2026, 5:55 p.m.
Created at: April 17, 2026, 2:51 p.m.