Triple

T38330539
Position Surface form Disambiguated ID Type / Status
Subject IMO Polar Code E1037808 entity
Predicate partIAType P193922 FINISHED
Object mandatory safety measures 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: mandatory safety measures | Statement: [IMO Polar Code, partIAType, mandatory safety measures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partIAType
Context triple: [IMO Polar Code, partIAType, mandatory safety measures]
  • A. partAType
    Indicates that one entity specifies or denotes the type or category of a particular part (part A) in relation to another entity.
  • B. partBType
    Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
  • C. partCType
    Indicates that an entity is classified as a specific subtype or category of a larger part or component.
  • D. partOfType
    Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
  • E. partDType
    Indicates that one entity is classified as a specific subtype or category (type) of a part in relation to another entity.
  • 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
PDg Predicate description generation batch_69fd592cc56081908ce456114d407616 completed May 8, 2026, 3:31 a.m.
Created at: May 3, 2026, 4:30 p.m.