Triple

T5283978
Position Surface form Disambiguated ID Type / Status
Subject Grand Cross of the Virtuti Militari E119567 entity
Predicate associatedWithConflictType P55719 FINISHED
Object war 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: war | Statement: [Grand Cross of the Virtuti Militari, associatedWithConflictType, war]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithConflictType
Context triple: [Grand Cross of the Virtuti Militari, associatedWithConflictType, war]
  • A. usedInConflictType chosen
    Indicates that something (such as a resource, method, or capability) is employed or applied within a specific type or category of conflict.
  • B. conflictWith
    Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
  • C. appliesToConflictWith
    Indicates that one element’s scope, rules, or effects are relevant to a conflict involving another element, defining how that element is implicated in or governed by the conflict.
  • D. conflictType
    Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
  • E. hasRelatedConflict
    Indicates that one entity is associated with another entity through a related or connected conflict, dispute, or incompatibility.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8c9c72b08190947b6b955ac1bb5a completed March 20, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69bd844a56b48190ad743c42246e02dd completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:52 p.m.