Triple

T16575620
Position Surface form Disambiguated ID Type / Status
Subject Liverpool Cruise Terminal E402700 entity
Predicate hasISPSCodeCompliance P17338 FINISHED
Object yes 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: yes | Statement: [Liverpool Cruise Terminal, hasISPSCodeCompliance, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISPSCodeCompliance
Context triple: [Liverpool Cruise Terminal, hasISPSCodeCompliance, yes]
  • A. providesCompliance
    Indicates that one entity supplies or ensures adherence to required rules, standards, or regulations for another entity.
  • B. indicatesComplianceWith
    Indicates that one entity conforms to, satisfies, or adheres to the rules, standards, or requirements specified by another entity or framework.
  • C. evaluatesComplianceWith
    Indicates that one entity assesses whether another entity or its behavior meets specified rules, standards, or requirements.
  • D. hasComplianceStatement
    Indicates that an entity is associated with a formal declaration that it adheres to specified rules, standards, or regulatory requirements.
  • E. hasSafetyRegulationCompliance chosen
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595cb65481909be62a52deff3d44 completed April 18, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69e296a7d9d0819088555bca6c936e79 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:16 a.m.