Triple

T16884114
Position Surface form Disambiguated ID Type / Status
Subject Montenegro and Serbia E421493 entity
Predicate historicalCooperationType P106491 FINISHED
Object military cooperation 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: military cooperation | Statement: [Montenegro and Serbia, historicalCooperationType, military cooperation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalCooperationType
Context triple: [Montenegro and Serbia, historicalCooperationType, military cooperation]
  • A. cooperationAreasHistorically chosen
    Indicates that the entities have historically cooperated in specific domains or areas of activity.
  • B. cooperationType
    Indicates the specific kind or form of cooperative relationship that exists between the related entities.
  • C. hasMilitaryCooperationAt
    Indicates that two or more entities engage in military cooperation at or in relation to a specific location or venue.
  • D. historicalType
    Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
  • E. hasPoliticalCooperationBody
    Indicates the existence of an official body or mechanism through which two or more entities engage in structured political cooperation.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.