Triple

T24306480
Position Surface form Disambiguated ID Type / Status
Subject Council of Saint-Cloud E612548 entity
Predicate militaryForcesUsed P14068 FINISHED
Object troops of the French Army 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: troops of the French Army | Statement: [Council of Saint-Cloud, militaryForcesUsed, troops of the French Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryForcesUsed
Context triple: [Council of Saint-Cloud, militaryForcesUsed, troops of the French Army]
  • A. militaryForceUsed chosen
    Indicates that one entity employs or applies military power or armed force against, within, or in relation to another entity or situation.
  • B. armedForcesInvolved
    Indicates that the relationship or event involves the participation or presence of military or armed forces.
  • C. militaryUse
    Indicates the use of something (such as land, facilities, equipment, or resources) for military purposes or operations.
  • D. commandedForcesAgainst
    Indicates that one entity held command authority over military or armed forces engaged in opposition to another entity.
  • E. militaryTacticsUsed
    Indicates that specific military tactics are employed or applied in the context of a particular operation, conflict, or strategic situation.
  • 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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292272af88190b9c23615adbac911 completed April 29, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 1:30 a.m.