Triple

T13494412
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Kyūan
Kyūan was a Japanese era (nengō) of the late Heian period, spanning the reign of Emperor Toba and marked by courtly culture and political intrigue.
 E1043309 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: Kyūan | Statement: [Emperor Toba, eraNameUsed, Kyūan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyūan
Context triple: [Emperor Toba, eraNameUsed, Kyūan]
  • A. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • B. Taishi
    Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
  • C. Taishi
    Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
  • D. Sunpu
    Sunpu is the former name of the Japanese castle town that developed into modern Shizuoka City, historically known as a key stronghold of the Tokugawa shogunate.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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: Kyūan
Triple: [Emperor Toba, eraNameUsed, Kyūan]
Generated description
Kyūan was a Japanese era (nengō) of the late Heian period, spanning the reign of Emperor Toba and marked by courtly culture and political intrigue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyūan
Target entity description: Kyūan was a Japanese era (nengō) of the late Heian period, spanning the reign of Emperor Toba and marked by courtly culture and political intrigue.
  • A. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • B. Taishi
    Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
  • C. Taishi
    Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
  • D. Sunpu
    Sunpu is the former name of the Japanese castle town that developed into modern Shizuoka City, historically known as a key stronghold of the Tokugawa shogunate.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7496187988190b42e51f192cd4a80 completed May 3, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69f74a0420908190b2b4988cc4d4a20a completed May 3, 2026, 1:13 p.m.
Created at: April 9, 2026, 9:43 p.m.