Triple

T5685512
Position Surface form Disambiguated ID Type / Status
Subject Mangina E125303 entity
Predicate hasPublicHealthInfrastructure P65774 FINISHED
Object Ebola treatment centers 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: Ebola treatment centers | Statement: [Mangina, hasPublicHealthInfrastructure, Ebola treatment centers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicHealthInfrastructure
Context triple: [Mangina, hasPublicHealthInfrastructure, Ebola treatment centers]
  • A. isPublicHospital
    Indicates that a hospital is owned, funded, or operated by a government or public authority rather than by private entities.
  • B. hasCommercialInfrastructure
    Indicates that an entity possesses or is equipped with facilities, systems, or structures that support commercial or business activities.
  • C. hasSafetyInfrastructure
    Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
  • D. hasTraumaCenter
    Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
  • E. hasGlobalInfrastructure
    Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248751bc8190b12aaa42d1ef17e3 completed March 22, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69c021be59088190a81c880957f666ab completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c024861bc88190a17782c1982fbb3e completed March 22, 2026, 5:19 p.m.
Created at: March 22, 2026, 3:44 p.m.