Triple

T16859542
Position Surface form Disambiguated ID Type / Status
Subject Emperor Ichijō E409871 entity
Predicate eraName P2938 FINISHED
Object Kankō
Kankō was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Ichijō.
 E1389151 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: Kankō | Statement: [Emperor Ichijō, eraName, Kankō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kankō
Context triple: [Emperor Ichijō, eraName, Kankō]
  • A. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • B. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • C. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • D. Kakunyo
    Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
  • E. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • 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: Kankō
Triple: [Emperor Ichijō, eraName, Kankō]
Generated description
Kankō was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Ichijō.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kankō
Target entity description: Kankō was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Ichijō.
  • A. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • B. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • C. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • D. Kakunyo
    Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
  • E. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787a179d8819087a885c6864498f3 completed May 15, 2026, 8:52 p.m.
NEDg Description generation batch_6a079032e8b48190b9c2ab601713f94a completed May 15, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_6a07908eb4c08190b112fa48e0892fe7 completed May 15, 2026, 9:30 p.m.
Created at: April 10, 2026, 5:24 a.m.