Triple

T30002063
Position Surface form Disambiguated ID Type / Status
Subject Saigoku Kannon Pilgrimage E762194 entity
Predicate hasEndingPoint P390 FINISHED
Object Kegon-ji
Kegon-ji is a Buddhist temple in Japan known as the final stop on the renowned Saigoku Kannon Pilgrimage route.
 E2175762 NE FINISHED

How this triple was built (3 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: Kegon-ji | Statement: [Saigoku Kannon Pilgrimage, hasEndingPoint, Kegon-ji]
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: Kegon-ji
Triple: [Saigoku Kannon Pilgrimage, hasEndingPoint, Kegon-ji]
Generated description
Kegon-ji is a Buddhist temple in Japan known as the final stop on the renowned Saigoku Kannon Pilgrimage route.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasEndingPoint
Context triple: [Saigoku Kannon Pilgrimage, hasEndingPoint, Kegon-ji]
  • A. hasEnding
    Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
  • B. canEndOn
    Indicates that one entity is allowed or able to terminate, conclude, or finish with another specified entity or condition.
  • C. hasLandmarkAtEnd
    Indicates that a landmark is located at the terminal point or end of a specified path, route, or boundary.
  • D. hasEnd
    Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
  • E. endPoint chosen
    Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
  • F. None of above.

Provenance (6 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_69f2246a47ac81909cf5213053687ffc completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7805ce6208190ac6dbd9c97989978 completed May 3, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d119dc481908fde7eb04ecc514e completed June 22, 2026, 2:56 p.m.
NEDg Description generation batch_6a394e193f4c81908694652d7126698d completed June 22, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a3968453570819084081dc21fc59a21 completed June 22, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69f77956ec648190ba4fb7e9d83fd107 completed May 3, 2026, 4:35 p.m.
Created at: April 29, 2026, 6:41 p.m.