Triple

T573471
Position Surface form Disambiguated ID Type / Status
Subject Battle of Malplaquet E13711 entity
Predicate FrenchStrength P6664 FINISHED
Object approximately 75,000 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: approximately 75,000 soldiers | Statement: [Battle of Malplaquet, FrenchStrength, approximately 75,000 soldiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: FrenchStrength
Context triple: [Battle of Malplaquet, FrenchStrength, approximately 75,000 soldiers]
  • A. 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.
  • B. strength chosen
    Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
  • C. strengthensFrom
    Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
  • D. forceType
    Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
  • E. strengthens
    Indicates that one entity increases the power, effectiveness, or resilience of another.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4ae0988190bdd0ad428b784d85 completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c4969c819080375d08f9eec50c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.