Triple

T34360886
Position Surface form Disambiguated ID Type / Status
Subject Iizaka Onsen E881868 entity
Predicate healingUse P40313 FINISHED
Object bathing for relaxation 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: bathing for relaxation | Statement: [Iizaka Onsen, healingUse, bathing for relaxation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healingUse
Context triple: [Iizaka Onsen, healingUse, bathing for relaxation]
  • A. typeOfHealing
    Indicates the specific method or modality by which a healing process is carried out or achieved.
  • B. sacramentOfHealing
    Indicates a relationship in which a religious sacrament is administered to bring spiritual or physical healing to a person.
  • C. medicinalUse chosen
    Indicates that one entity is used as a treatment or remedy for a disease, condition, or health-related purpose affecting another entity.
  • D. viewOnHealing
    Indicates a stance, belief, or perspective that an entity holds regarding the nature, process, or principles of healing.
  • E. receivesSupernaturalHealingFrom
    Indicates that one entity is restored to health or cured through a supernatural or miraculous intervention provided by another entity.
  • 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_69f349be5c9c81908dc726ae1f4c68f2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:58 a.m.