Triple

T29441917
Position Surface form Disambiguated ID Type / Status
Subject Tenmangū shrine network E746737 entity
Predicate hasPilgrimageAspect P129326 FINISHED
Object students visiting before entrance exams LITERAL FINISHED

How this triple was built (2 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: students visiting before entrance exams | Statement: [Tenmangū shrine network, hasPilgrimageAspect, students visiting before entrance exams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageAspect
Context triple: [Tenmangū shrine network, hasPilgrimageAspect, students visiting before entrance exams]
  • A. hasPilgrimageFocus chosen
    Indicates that something is centered on, dedicated to, or primarily concerned with religious or spiritual pilgrimage activities or themes.
  • B. hasPilgrimageObject
    Indicates that an entity has a specific object or site that serves as the focus or destination of a pilgrimage associated with it.
  • C. hasPilgrimageRegion
    Indicates that an entity is associated with a specific region that serves as the destination or location for its pilgrimage activities.
  • D. hasPilgrimageType
    Indicates that an entity is associated with a specific type or category of pilgrimage.
  • E. hasPilgrimageFrom
    Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
  • F. None of above.

Provenance (3 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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f67d3624248190a36a9b2d2e9778d4 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 28, 2026, 3:23 p.m.