Triple

T28885179
Position Surface form Disambiguated ID Type / Status
Subject Mount Hakusan as shintai E732539 entity
Predicate associatedFaith P102165 FINISHED
Object Hakusan faith E1837865 NE 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: Hakusan faith | Statement: [Mount Hakusan as shintai, associatedFaith, Hakusan faith]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedFaith
Context triple: [Mount Hakusan as shintai, associatedFaith, Hakusan faith]
  • A. associatedReligionOrBelief chosen
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • B. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • C. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • D. religiousObjectAssociated
    Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
  • E. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • F. None of above.

Provenance (4 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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_6a021706e21c81909b83e2b4d9c4130c completed May 11, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec30d5308190893a55fde48338f1 completed June 7, 2026, 3:57 a.m.
PD Predicate disambiguation batch_6a0216861214819097d2177755bc19d7 completed May 11, 2026, 5:48 p.m.
Created at: April 28, 2026, 7:49 a.m.