Triple

T8914513
Position Surface form Disambiguated ID Type / Status
Subject NATO Airborne Early Warning and Control Force Command E212263 entity
Predicate hasPersonnelFrom P12729 FINISHED
Object multiple NATO nations 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: multiple NATO nations | Statement: [NATO Airborne Early Warning and Control Force Command, hasPersonnelFrom, multiple NATO nations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPersonnelFrom
Context triple: [NATO Airborne Early Warning and Control Force Command, hasPersonnelFrom, multiple NATO nations]
  • A. personnelComposition chosen
    Indicates the makeup or distribution of people or roles within a group, organization, or unit.
  • B. personnel
    Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
  • C. personnelType
    Indicates the classification or role category assigned to a person within an organization or system.
  • D. hasGeneralStaff
    Indicates that an entity has, is associated with, or is served by a general staff body responsible for overall strategic or administrative functions.
  • E. peakPersonnel
    Indicates the maximum number of personnel involved or present at any point during a specified period or activity.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660e620c8190b02b9843c8f02bfa completed April 1, 2026, 12:25 a.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:56 p.m.