Triple

T4689766
Position Surface form Disambiguated ID Type / Status
Subject BCG vaccine E104005 entity
Predicate recommendedIn P58814 FINISHED
Object countries with high tuberculosis prevalence 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: countries with high tuberculosis prevalence | Statement: [BCG vaccine, recommendedIn, countries with high tuberculosis prevalence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recommendedIn
Context triple: [BCG vaccine, recommendedIn, countries with high tuberculosis prevalence]
  • A. commendedFor
    Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
  • B. madeRecommendation
    Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
  • C. implementsRecommendationOf
    Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
  • D. submitsRecommendationsTo
    Indicates that one entity formally sends or presents recommendations to another entity for consideration or action.
  • E. canRecommend
    Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
  • 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_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.
PDg Predicate description generation batch_69bd660414b08190ab37467755d383b5 completed March 20, 2026, 3:21 p.m.
Created at: March 20, 2026, 1:16 p.m.