Triple

T4689785
Position Surface form Disambiguated ID Type / Status
Subject BCG vaccine E104005 entity
Predicate highEfficacyFor P17855 FINISHED
Object prevention of severe childhood TB forms 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: prevention of severe childhood TB forms | Statement: [BCG vaccine, highEfficacyFor, prevention of severe childhood TB forms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: highEfficacyFor
Context triple: [BCG vaccine, highEfficacyFor, prevention of severe childhood TB forms]
  • A. maximumEfficiency
    Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
  • B. hasMaximumEfficiencyAt
    Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
  • C. energyEfficiencyFeature
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • D. hasHigh chosen
    Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
  • E. energyHigherThan
    Indicates that one entity possesses a greater amount or level of energy than another entity.
  • 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.