Triple

T16347593
Position Surface form Disambiguated ID Type / Status
Subject Nao Victoria E396973 entity
Predicate namedAfter P63 FINISHED
Object Saint Victoria E124730 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: Saint Victoria | Statement: [Nao Victoria, namedAfter, Saint Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Victoria
Context triple: [Nao Victoria, namedAfter, Saint Victoria]
  • A. Saint Victoria chosen
    Saint Victoria is a Christian martyr venerated as a saint, traditionally honored for her steadfast faith and sacrifice.
  • B. Mount Carlo
    Mount Carlo is a lesser-known peak in the rugged Mahoosuc Range of the northern Appalachian Mountains in New England.
  • C. Mont Bénara
    Mont Bénara is the highest peak on the French Indian Ocean island of Mayotte, known for its lush tropical forests and panoramic views over the surrounding lagoon.
  • D. Mount Roland
    Mount Roland is a prominent mountain in northwestern Tasmania, Australia, known for its rugged dolerite cliffs, extensive hiking trails, and panoramic views over the surrounding countryside.
  • E. Mont Vinaigre
    Mont Vinaigre is a prominent peak in southeastern France known for its panoramic views over the rugged, red-rock landscapes of the Esterel Massif and the Mediterranean coast.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.