Triple

T6465873
Position Surface form Disambiguated ID Type / Status
Subject jingū E142230 entity
Predicate contrastedWith P278 FINISHED
Object taisha
Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
E593617 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: taisha | Statement: [jingū, contrastedWith, taisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: taisha
Context triple: [jingū, contrastedWith, taisha]
  • A. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • B. Tōshō
    Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
  • C. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Daibutsu
    Daibutsu is the monumental Great Buddha statue of Nara, a colossal bronze image of Vairocana Buddha and one of Japan’s most famous religious icons.
  • 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: taisha
Triple: [jingū, contrastedWith, taisha]
Generated description
Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: taisha
Target entity description: Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
  • A. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • B. Tōshō
    Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
  • C. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Daibutsu
    Daibutsu is the monumental Great Buddha statue of Nara, a colossal bronze image of Vairocana Buddha and one of Japan’s most famous religious icons.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a1159ec81909bbfa9a9d6fa1616 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bea685c8190ad647a61b6e969e5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64d5f8dcc81908dc15e75acac8d16 completed March 27, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69c64dcfe90c819080dfc48240068d37 completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:49 p.m.