Triple

T14442640
Position Surface form Disambiguated ID Type / Status
Subject Temple 61: Kōonji E358122 entity
Predicate namedAfter P63 FINISHED
Object Kōonji
Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
 E1256695 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: Kōonji | Statement: [Temple 61: Kōonji, namedAfter, Kōonji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōonji
Context triple: [Temple 61: Kōonji, namedAfter, Kōonji]
  • A. Kan’onji
    Kan’onji is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its historic temples and scenic views of the Seto Inland Sea.
  • B. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • 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: Kōonji
Triple: [Temple 61: Kōonji, namedAfter, Kōonji]
Generated description
Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōonji
Target entity description: Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
  • A. Kan’onji
    Kan’onji is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its historic temples and scenic views of the Seto Inland Sea.
  • B. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a0161b31540819098aa6275f96433ad completed May 11, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a016299d9ac8190be74d5db0d28ea36 completed May 11, 2026, 5:01 a.m.
Created at: April 10, 2026, 1:18 a.m.