Triple

T22478750
Position Surface form Disambiguated ID Type / Status
Subject Artémis E555703 entity
Predicate owns P347 FINISHED
Object Ponant NE NERFINISHED

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: Ponant | Statement: [Artémis, owns, Ponant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponant
Context triple: [Artémis, owns, Ponant]
  • A. Ponant chosen
    Ponant is a French luxury cruise line specializing in small-ship expeditions to remote and polar destinations.
  • B. Ponant (Ponent)
    Ponant (Ponent) is a territorial area in western Catalonia, Spain, commonly associated with the Lleida region and its surrounding counties.
  • C. 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.
  • D. Seabourn Cruise Line
    Seabourn Cruise Line is a luxury cruise company known for its small, upscale ships offering high-end, all-inclusive voyages to destinations worldwide.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be653bc8190a2e5c47e38228bfe completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.