Triple

T15025585
Position Surface form Disambiguated ID Type / Status
Subject Ryōzenji E378203 entity
Predicate hasStructure P35 FINISHED
Object Daishidō
Daishidō is a hall within the Ryōzenji temple complex in Japan, typically dedicated to the revered Buddhist monk Kōbō Daishi.
 E1135792 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: Daishidō | Statement: [Ryōzenji, hasStructure, Daishidō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daishidō
Context triple: [Ryōzenji, hasStructure, Daishidō]
  • A. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • B. Daikoku
    Daikoku is a prominent Japanese deity of wealth, agriculture, and household prosperity, often depicted with a mallet and rice bales and revered as one of the Seven Lucky Gods.
  • C. Jūrakuji
    Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
  • D. Shinto Taikyo
    Shinto Taikyo is a Shinto religious sect in Japan that emphasizes traditional Shinto rituals and teachings within the broader framework of Sect Shinto.
  • E. Tenkasi
    Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
  • 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: Daishidō
Triple: [Ryōzenji, hasStructure, Daishidō]
Generated description
Daishidō is a hall within the Ryōzenji temple complex in Japan, typically dedicated to the revered Buddhist monk Kōbō Daishi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daishidō
Target entity description: Daishidō is a hall within the Ryōzenji temple complex in Japan, typically dedicated to the revered Buddhist monk Kōbō Daishi.
  • A. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • B. Daikoku
    Daikoku is a prominent Japanese deity of wealth, agriculture, and household prosperity, often depicted with a mallet and rice bales and revered as one of the Seven Lucky Gods.
  • C. Jūrakuji
    Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
  • D. Shinto Taikyo
    Shinto Taikyo is a Shinto religious sect in Japan that emphasizes traditional Shinto rituals and teachings within the broader framework of Sect Shinto.
  • E. Tenkasi
    Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b0bbf4819082e14715bfd6003d completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea6f926d481908cf4465205c628db completed May 9, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fea9ab97e08190995c090c1fb9ed3b completed May 9, 2026, 3:27 a.m.
Created at: April 10, 2026, 2:57 a.m.