Triple

T35329449
Position Surface form Disambiguated ID Type / Status
Subject HIA Desgenettes E1020277 entity
Predicate coordinatesMilitaryMedicalSupport P183018 FINISHED
Object yes 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: yes | Statement: [HIA Desgenettes, coordinatesMilitaryMedicalSupport, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coordinatesMilitaryMedicalSupport
Context triple: [HIA Desgenettes, coordinatesMilitaryMedicalSupport, yes]
  • A. militarySupportActivity
    Indicates an action where one entity provides military-related assistance, resources, or operational support to another.
  • B. coordinatesDefenseSupport
    Indicates organizing and directing defensive assistance or protective actions among involved entities.
  • C. isMilitaryTreatmentFacility
    Indicates that a facility functions as an official medical treatment center operated by or for the military.
  • D. coordinatesMilitaryPolicyWith
    Indicates that one entity aligns, harmonizes, or jointly plans its military policies or strategies with another entity.
  • E. coordinatesMilitaryOperationsOf
    Indicates having authority to plan, direct, and manage the military operations carried out by another entity.
  • F. None of above. chosen

Provenance (4 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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f795b5228c8190adb5bf86e581f70c completed May 3, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
PDg Predicate description generation batch_69f79527c7bc8190a69d87bec01f65c8 completed May 3, 2026, 6:34 p.m.
Created at: May 3, 2026, 4:03 p.m.