Triple

T5905301
Position Surface form Disambiguated ID Type / Status
Subject Kusanagi-no-Tsurugi E131327 entity
Predicate viewingRestrictions P9584 FINISHED
Object not shown to the public 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: not shown to the public | Statement: [Kusanagi-no-Tsurugi, viewingRestrictions, not shown to the public]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewingRestrictions
Context triple: [Kusanagi-no-Tsurugi, viewingRestrictions, not shown to the public]
  • A. hasViewingConditions
    Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
  • B. hasPhotographyRestrictions
    Indicates that there are specific rules or limitations governing whether and how photography is allowed.
  • C. accessRestriction chosen
    Indicates a limitation or control placed on who or what can access a particular resource, location, or information.
  • D. intendedViewerExperience
    Indicates the type or quality of experience that a piece of content is designed or expected to provide to its viewers.
  • E. demographicRestriction
    Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03ee10b308190afe38b904ae7c5f7 completed March 22, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c0334fcf6481908e8e74105de9d49b completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.