Triple

T1547254
Position Surface form Disambiguated ID Type / Status
Subject French invasion of Russia E33005 entity
Predicate strategyUsedByFrench P31113 FINISHED
Object rapid advance to force a decisive battle 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: rapid advance to force a decisive battle | Statement: [French invasion of Russia, strategyUsedByFrench, rapid advance to force a decisive battle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strategyUsedByFrench
Context triple: [French invasion of Russia, strategyUsedByFrench, rapid advance to force a decisive battle]
  • A. FrenchRole
    Indicates a role or position that an entity holds specifically within a French context (e.g., in France or related to French institutions, culture, or language).
  • B. 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.
  • C. FrenchCommander
    Indicates that an entity serves as a military commander associated with France.
  • D. hasFrenchSector
    Indicates that an entity includes, controls, or is associated with a sector or area designated as French.
  • E. strengthFrance
    Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
  • F. None of above. chosen

Provenance (4 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa574094048190a2d7fc3ac904d51e completed March 6, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69a907b426dc8190975c024a50955368 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69aa573ee8e0819084abf59f1ddbd1da completed March 6, 2026, 4:25 a.m.
Created at: March 4, 2026, 7:26 p.m.