Triple

T5820448
Position Surface form Disambiguated ID Type / Status
Subject Pierre-Charles Villeneuve E129092 entity
Predicate fleetCompositionAtTrafalgar P19503 FINISHED
Object French and Spanish ships of the line 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: French and Spanish ships of the line | Statement: [Pierre-Charles Villeneuve, fleetCompositionAtTrafalgar, French and Spanish ships of the line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fleetCompositionAtTrafalgar
Context triple: [Pierre-Charles Villeneuve, fleetCompositionAtTrafalgar, French and Spanish ships of the line]
  • A. navalForceComposition chosen
    Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
  • B. navalFleet
    Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
  • C. navalForceInvolved
    Indicates that a naval military force participates in, contributes to, or is otherwise involved in a specified event or operation.
  • D. roleAtTrafalgar
    Indicates the specific role, position, or function an entity held during the Battle of Trafalgar.
  • E. fleetStrengthEnglish
    Indicates the relative military or naval power level associated with a fleet, expressed or categorized in English terms.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0333fdd7081908d829265caa2ac11 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:53 p.m.