Triple

T11998041
Position Surface form Disambiguated ID Type / Status
Subject Lambayong E285579 entity
Predicate hasPublicHealthSystem P65774 FINISHED
Object Philippine Department of Health network 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: Philippine Department of Health network | Statement: [Lambayong, hasPublicHealthSystem, Philippine Department of Health network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicHealthSystem
Context triple: [Lambayong, hasPublicHealthSystem, Philippine Department of Health network]
  • A. hasOwnHealthSystem
    Indicates that an entity operates and controls its own dedicated healthcare system, rather than relying solely on external or shared health services.
  • B. hasPublicHealthInfrastructure chosen
    Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
  • C. hasHealthcareInfrastructure
    Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
  • D. hasHealthProgram
    Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
  • E. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.