Triple

T9435448
Position Surface form Disambiguated ID Type / Status
Subject Iwashimizu Hachimangū E227492 entity
Predicate founder P104 FINISHED
Object Gyōkyō
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
 E887082 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: Gyōkyō | Statement: [Iwashimizu Hachimangū, founder, Gyōkyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gyōkyō
Context triple: [Iwashimizu Hachimangū, founder, Gyōkyō]
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. Zoshigaya
    Zoshigaya is a quiet, historic residential neighborhood in Tokyo known for its traditional atmosphere, temples, and proximity to Zoshigaya Cemetery.
  • C. Yamadera
    Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • 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: Gyōkyō
Triple: [Iwashimizu Hachimangū, founder, Gyōkyō]
Generated description
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gyōkyō
Target entity description: Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. Zoshigaya
    Zoshigaya is a quiet, historic residential neighborhood in Tokyo known for its traditional atmosphere, temples, and proximity to Zoshigaya Cemetery.
  • C. Yamadera
    Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e64109081908222f590928bc572 completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69de83df5bf881908d775354ace05e66 completed April 14, 2026, 6:13 p.m.
NEDg Description generation batch_69de883488b481909f151d8a7c246aa1 completed April 14, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: March 30, 2026, 7:50 p.m.