Triple

T14835121
Position Surface form Disambiguated ID Type / Status
Subject Battle of Porto Praya E348810 entity
Predicate outcomeForFrench P76199 FINISHED
Object French squadron continued voyage to the Indian Ocean 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 squadron continued voyage to the Indian Ocean | Statement: [Battle of Porto Praya, outcomeForFrench, French squadron continued voyage to the Indian Ocean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outcomeForFrench
Context triple: [Battle of Porto Praya, outcomeForFrench, French squadron continued voyage to the Indian Ocean]
  • A. FrenchOutcome
    Indicates that an event, action, or process results in an outcome that is specifically French in nature, context, or origin.
  • B. resultForFrance chosen
    Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
  • C. sideOutcomeForFrenchUnion
    Indicates a secondary or indirect result that occurs specifically in relation to the French Union.
  • D. outcomeOf
    Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
  • E. FrenchObjective
    Indicates that an entity serves as the goal, target, or object of an action or relation specifically within a French linguistic or contextual framework.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69de8c13418c819088ff9905ace1416a completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:52 a.m.