Triple

T36600067
Position Surface form Disambiguated ID Type / Status
Subject BAFF E902891 entity
Predicate overexpressionLeadsTo P18658 FINISHED
Object breakdown of B cell tolerance 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: breakdown of B cell tolerance | Statement: [BAFF, overexpressionLeadsTo, breakdown of B cell tolerance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overexpressionLeadsTo
Context triple: [BAFF, overexpressionLeadsTo, breakdown of B cell tolerance]
  • A. overexpressionAssociatedWith
    Indicates that an unusually high level of expression of one entity (such as a gene or protein) is associated with the presence, severity, or outcome of another entity or condition.
  • B. overactivityAssociatedWith
    Indicates that a state of excessive activity is linked or correlated with another condition, factor, or outcome.
  • C. exaggerates
    Indicates that one entity portrays something about another entity or situation as greater, more extreme, or more significant than it actually is.
  • D. canLeadTo chosen
    Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
  • E. increasesProductionOf
    Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.