Triple

T8902293
Position Surface form Disambiguated ID Type / Status
Subject auditory cortex E211956 entity
Predicate damageCanCause P78832 FINISHED
Object cortical deafness 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: cortical deafness | Statement: [auditory cortex, damageCanCause, cortical deafness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: damageCanCause
Context triple: [auditory cortex, damageCanCause, cortical deafness]
  • A. damageLeadsTo chosen
    Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
  • B. damageTo
    Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
  • C. damageAssociatedWith
    Indicates a relationship where one entity is linked to causing, contributing to, or being responsible for damage affecting another entity.
  • D. damageDescription
    Indicates a textual description of the nature, extent, or characteristics of damage associated with an entity or event.
  • E. decayResistanceCause
    Indicates that one factor or condition is the cause of another entity’s resistance to decay.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642a104081908df2d64e8f9ad0c8 completed April 1, 2026, 12:17 a.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:55 p.m.