Triple

T4689770
Position Surface form Disambiguated ID Type / Status
Subject BCG vaccine E104005 entity
Predicate dosingSchedule P37218 FINISHED
Object single dose at birth in high-burden countries 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: single dose at birth in high-burden countries | Statement: [BCG vaccine, dosingSchedule, single dose at birth in high-burden countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dosingSchedule
Context triple: [BCG vaccine, dosingSchedule, single dose at birth in high-burden countries]
  • A. hasDosingRegimen chosen
    Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
  • B. doseRegimen
    Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
  • C. dosingInterval
    Indicates the time period that should elapse between consecutive doses of a medication or treatment.
  • D. hasMaintenanceDose
    Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
  • E. hasLoadingDoseRegimen
    Indicates that an entity is associated with a specific initial (loading) dosing regimen administered to rapidly achieve a desired therapeutic level.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd66059bfc8190885d26d05dd38df1 completed March 20, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69bd6219da948190bbbb50f08573ab4d completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:16 p.m.