Triple

T13635936
Position Surface form Disambiguated ID Type / Status
Subject Emperor Go-Shirakawa E325847 entity
Predicate eraNameUsed P2938 FINISHED
Object Kyūju
Kyūju was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
 E1054055 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: Kyūju | Statement: [Emperor Go-Shirakawa, eraNameUsed, Kyūju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyūju
Context triple: [Emperor Go-Shirakawa, eraNameUsed, Kyūju]
  • A. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • B. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • 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: Kyūju
Triple: [Emperor Go-Shirakawa, eraNameUsed, Kyūju]
Generated description
Kyūju was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyūju
Target entity description: Kyūju was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
  • A. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • B. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af297008190b12256c936714213 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78f1aca288190b4a0af0dd4e96c50 completed May 3, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69f790d7bce08190b56fb03b0586ee52 completed May 3, 2026, 6:15 p.m.
Created at: April 9, 2026, 9:51 p.m.