Triple

T33827348
Position Surface form Disambiguated ID Type / Status
Subject SS Empress of Britain (2026) E866992 entity
Predicate hasCruiseFacilities P190079 FINISHED
Object true 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: true | Statement: [SS Empress of Britain (2026), hasCruiseFacilities, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCruiseFacilities
Context triple: [SS Empress of Britain (2026), hasCruiseFacilities, true]
  • A. cruiseCapability
    Indicates the ability of an entity to travel or operate in a steady, sustained cruising mode under its own power.
  • B. hasPassengerAmenity
    Indicates that an entity provides or is equipped with a specific amenity intended for the comfort or convenience of its passengers.
  • C. hasGoodsFacilities
    Indicates that a location or entity is equipped with facilities for handling, storing, or processing goods or cargo.
  • D. servesCruisePort
    Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
  • E. hasBoatFacility
    Indicates that an entity provides or is equipped with facilities or services specifically for boats.
  • 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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
PDg Predicate description generation batch_69fcab6d41a88190a3576b4b088dcabd completed May 7, 2026, 3:10 p.m.
Created at: May 1, 2026, 1:46 a.m.