Triple

T32053958
Position Surface form Disambiguated ID Type / Status
Subject Royal Navy frigates E818564 entity
Predicate canEscort P33337 FINISHED
Object aircraft carriers 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: aircraft carriers | Statement: [Royal Navy frigates, canEscort, aircraft carriers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canEscort
Context triple: [Royal Navy frigates, canEscort, aircraft carriers]
  • A. hiresAsEscort
    Indicates that one entity employs another specifically to provide escort or companionship services.
  • B. escortDuty chosen
    Indicates that one entity is responsible for accompanying and protecting another entity during travel or movement.
  • C. numberOfEscorts
    Indicates the quantity of escorting entities or units associated with a given entity or event.
  • D. escortType
    Indicates the specific role or category of escort service associated with an escorting relationship or activity.
  • E. escortDuties
    Indicates that one entity is responsible for accompanying and ensuring the safe or guided movement of another entity from one place or situation to another.
  • 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_69f348fdacec8190b9f74375ca3b2094 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4ed587c8190868dba58046328c9 completed May 3, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69f6b154b3dc819087115f5f63f7b00f completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:21 a.m.