Triple

T10065356
Position Surface form Disambiguated ID Type / Status
Subject Resilient Lady E213087 entity
Predicate operator P179 FINISHED
Object Virgin Voyages E39797 NE 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: Virgin Voyages | Statement: [Resilient Lady, operator, Virgin Voyages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Voyages
Context triple: [Resilient Lady, operator, Virgin Voyages]
  • A. Virgin Voyages chosen
    Virgin Voyages is a lifestyle-focused cruise line under the Virgin brand that offers adults-only, resort-style voyages with a modern, boutique experience.
  • B. Windstar Cruises
    Windstar Cruises is a small-ship cruise line known for its luxury yacht-style voyages and intimate, sail-assisted vessels that visit unique ports worldwide.
  • C. Celebrity Cruises
    Celebrity Cruises is a premium cruise line known for its upscale ships, modern design, and destination-focused itineraries around the world.
  • D. Silversea Cruises
    Silversea Cruises is a luxury cruise line known for its small, ultra-premium ships and all-inclusive, high-end travel experiences to destinations worldwide.
  • E. Argosy Cruises
    Argosy Cruises is a Seattle-based tour company that operates sightseeing and dining cruises around Elliott Bay and the greater Puget Sound area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a84c3308190ba9286053c1017dc completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.