Triple

T6541059
Position Surface form Disambiguated ID Type / Status
Subject Battle of Lützen (1813) E168287 entity
Predicate approximateStrengthFrench P24882 FINISHED
Object about 130000 soldiers 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: about 130000 soldiers | Statement: [Battle of Lützen (1813), approximateStrengthFrench, about 130000 soldiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateStrengthFrench
Context triple: [Battle of Lützen (1813), approximateStrengthFrench, about 130000 soldiers]
  • 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. FrenchSupport
    Indicates that one entity provides support, assistance, or backing to another in a specifically French context (e.g., by French actors, in France, or involving the French language or institutions).
  • E. usesPrimaryFrenchGateway
    Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:50 p.m.