Triple

T18339750
Position Surface form Disambiguated ID Type / Status
Subject Daigo-ji E439367 entity
Predicate hasTreasureHouse P37091 FINISHED
Object Reihōkan
Reihōkan is the treasure hall of Daigo-ji Temple in Kyoto, housing an important collection of Buddhist art and cultural artifacts.
E1465655 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: Reihōkan | Statement: [Daigo-ji, hasTreasureHouse, Reihōkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reihōkan
Context triple: [Daigo-ji, hasTreasureHouse, Reihōkan]
  • A. Eikandō
    Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Shunpanrō
    Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
  • 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: Reihōkan
Triple: [Daigo-ji, hasTreasureHouse, Reihōkan]
Generated description
Reihōkan is the treasure hall of Daigo-ji Temple in Kyoto, housing an important collection of Buddhist art and cultural artifacts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reihōkan
Target entity description: Reihōkan is the treasure hall of Daigo-ji Temple in Kyoto, housing an important collection of Buddhist art and cultural artifacts.
  • A. Eikandō
    Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Shunpanrō
    Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a095a3c0c68819087c51a0a3d7efba7 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095aefc3f4819089e89a3b495a6d37 completed May 17, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:37 a.m.