Triple

T1402042
Position Surface form Disambiguated ID Type / Status
Subject Inari Ōkami E31605 entity
Predicate numberOfShrines P27588 FINISHED
Object thousands 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: thousands | Statement: [Inari Ōkami, numberOfShrines, thousands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfShrines
Context triple: [Inari Ōkami, numberOfShrines, thousands]
  • A. enshrines
    Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
  • B. pilgrimageTempleCount
    Indicates the number of temples associated with or visited during a particular pilgrimage.
  • C. hasMajorShrine
    Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
  • D. containsFamousShrine
    Indicates that a location includes within its boundaries a shrine that is widely recognized or renowned.
  • E. AtsutaShrineIs
    Indicates that something has the status, identity, or defining characteristics of Atsuta Shrine.
  • F. None of above. chosen

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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39ef554819096c17bca5891829b completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c11067b48190bca6ef3ac1475c20 completed March 1, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:59 p.m.