Triple

T7465092
Position Surface form Disambiguated ID Type / Status
Subject crossing of the Berezina River E176352 entity
Predicate approximateFrenchStrength P24882 FINISHED
Object tens of thousands of troops and followers 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: tens of thousands of troops and followers | Statement: [crossing of the Berezina River, approximateFrenchStrength, tens of thousands of troops and followers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateFrenchStrength
Context triple: [crossing of the Berezina River, approximateFrenchStrength, tens of thousands of troops and followers]
  • A. approximateStrengthFrancoSpanish
    Indicates an estimated or inferred level of strength or intensity in the relationship or interaction between Franco and Spanish entities.
  • B. approximateStrengthFrancoBavarian
    Indicates an estimated or inferred degree of strength or intensity in the Franco-Bavarian relationship or interaction.
  • C. strengthFrance chosen
    Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
  • D. estimatedStrength
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • E. FrenchOutcome
    Indicates that an event, action, or process results in an outcome that is specifically French in nature, context, or origin.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f28f34819080713a8abcc22034 completed March 27, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c6f03bad9c8190bdd5abb86d37df47 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:40 p.m.