Triple

T10624287
Position Surface form Disambiguated ID Type / Status
Subject Utility Model Act of Japan E250281 entity
Predicate termOfProtection P95031 FINISHED
Object 10 years from filing date 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: 10 years from filing date | Statement: [Utility Model Act of Japan, termOfProtection, 10 years from filing date]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termOfProtection
Context triple: [Utility Model Act of Japan, termOfProtection, 10 years from filing date]
  • A. protectedBy
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • B. protectionType
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • C. protects
    Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
  • D. providesProtectionIn
    Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
  • E. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
PDg Predicate description generation batch_69d6df463ea8819091d6683e476b4f21 completed April 8, 2026, 11:05 p.m.
Created at: April 8, 2026, 8:53 p.m.