Triple

T32524107
Position Surface form Disambiguated ID Type / Status
Subject COVID-19 pandemic in Belgium E831261 entity
Predicate vaccinationPriorityGroup P17586 FINISHED
Object residents of nursing homes 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: residents of nursing homes | Statement: [COVID-19 pandemic in Belgium, vaccinationPriorityGroup, residents of nursing homes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vaccinationPriorityGroup
Context triple: [COVID-19 pandemic in Belgium, vaccinationPriorityGroup, residents of nursing homes]
  • A. vulnerableGroup
    Indicates that the referenced group is at increased risk of harm, disadvantage, or negative outcomes compared to others.
  • B. vaccinationStrategy
    Indicates the planned or implemented approach for administering vaccines, including target groups, timing, and methods of delivery.
  • C. priorityGroup
    Indicates that one entity is assigned to, or associated with, a particular level or category of priority relative to others.
  • D. targetedPopulation chosen
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • E. breedingPriority
    Indicates the relative importance or preference assigned to an entity when selecting candidates for breeding.
  • 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_69f34923e1548190be0524205d8cdf8f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:01 a.m.